Firstsource Careers Data Entry Jobs in Usa
9,990 positions found — Page 8
About Cygnus Professionals, Inc.
Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients.
For further information about CYGNUS, please visit our website Title: Data Architect
Location: Princeton, New Jersey – Onsite
W2 Contract
Job Summary
We are seeking an experienced Data Architect to design, build, and maintain scalable data architecture solutions supporting enterprise analytics, data integration, and digital transformation initiatives. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to design robust data models, data pipelines, and enterprise data platforms that support advanced analytics and reporting.
Key Responsibilities
- Design and implement enterprise data architecture frameworks and best practices.
- Develop logical and physical data models for enterprise data platforms.
- Architect data lakes, data warehouses, and data integration solutions across cloud and on-prem environments.
- Collaborate with data engineers and application teams to build scalable data pipelines and ETL/ELT processes.
- Ensure data governance, data quality, security, and compliance standards are implemented across the data ecosystem.
- Evaluate and recommend data technologies, tools, and frameworks aligned with enterprise strategy.
- Provide architectural guidance for cloud-based data platforms (AWS/Azure/GCP).
- Optimize performance for large-scale data processing and analytics workloads.
- Support business intelligence, reporting, and advanced analytics initiatives.
Required Qualifications
- 10+ years of experience in data architecture, data engineering, or enterprise data management.
- Strong experience with data modeling (conceptual, logical, physical).
- Expertise with data warehouse and data lake architectures.
- Hands-on experience with ETL/ELT tools and data integration platforms.
- Experience with SQL and large-scale data platforms (Snowflake, Redshift, BigQuery, etc.).
- Experience working with cloud data platforms (AWS, Azure, or GCP).
- Strong understanding of data governance, data quality, and metadata management.
- Experience with big data technologies (Spark, Hadoop, Kafka) is a plus.
Preferred Skills
- Experience in Healthcare, Pharmaceutical, or Life Sciences domain.
- Knowledge of Master Data Management (MDM) and data catalog tools.
- Familiarity with BI tools such as Tableau, Power BI, or Looker.
- Strong communication skills to interact with business and technical teams.
Education
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
Cygnus Belief
We believe in our commitment to diversity & inclusion.
Equal Employment Opportunity Statement
Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.
All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have work authorization.
As a Data Steward Senior Analyst, you are part of a team responsible for enabling and supporting compliance with data-related enterprise policies within their domains/business units. You and your team are responsible for identifying critical data and associated risks, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Issues are remediated. You have the opportunity to partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.
In addition, this role will play a key part in effectively communicating new and updated data-related policies to the teams responsible for compliance. The individual must be skilled in preparing clear, engaging presentations that translate formal policy language into practical, easy-to-understand guidance and “tell the story” behind the policy requirements. The role will also support the delivery of training sessions, facilitate policy office hours, and serve as a go-to resource for questions related to data governance and retention compliance.
Your Primary Responsibilities may include:
• Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention (primary), Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.
• Develop training materials and educate organization on Record Retention and Deletion processes and procedures.
• Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.
• Collaborate with and influence product managers to ensure all new use cases are managed according to policies.
• Influence and contribute to strategic improvements to data assessment processes and analytical tools.
• Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.
• Subject matter expertise on multiple platforms.
• Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.
Qualifications include:
• 5 + years of experience in a similar role involved with ensuring compliance with Record Retention and Deletion policies.
• Strong communication skills and ability to influence and engage at multiple levels and cross functionally.
• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.
• 5+ years of Data Quality Management experience.
• Strong familiarity with data architecture and/or data modeling concepts
• 5+ years of experience with Agile or SAFe project methodologies
• Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.
• Preferred: Experience in Travel Industry.
• Preferred: Knowledge of RCSA (Risk Control Self-Assessment) methodology
Leadership Skills may include:
• Makes Decisions Quickly and Effectively: Drives effective outcome through decision making authority. Displays judgement and discretion in order to ensure deliverables are sufficient to the American Express policy and overall compliance.
• Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.
• Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.
• Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.
If you've been unemployed for 3–6+ months—or longer—you've probably seen how quickly the market can change.
A career gap or an outdated tech stack can reduce callbacks, even when you have talent.
Recruiters may assume your skills are outdated or your confidence is lower.
But gaps don't define ability.
They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure.
Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Walmart Labs, Client, and more—often with offers between $90,000 and $154,000 depending on role and expertise.
Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness.
JOPP helps you rebuild that proof and confidence systematically.
Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer.
The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Why programs don't fix gaps Many candidates with gaps try "one more course,” but that rarely changes outcomes.
Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers).
Want to see credibility and event participation? If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us: A gap isn't the end of your career.
It's a chapter—and you can write the next one strategically.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Most resumes never reach a hiring manager.
They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives.
That's why "I applied a lot” often leads to silence.
The fix is not more applications.
The fix is improving what your application communicates in the first 10 seconds.
Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more.
Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage.
Our purpose is to align your skills and profile with what employers are hiring for right now—so you get responses, interviews, and offers.
Why you may not be getting replies Your resume lacks stack clarity (recruiters can't quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: "What role are you targeting?”) You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You're not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile.
preparing you for screening, interview calls, technical rounds, and offer negotiation readiness.
Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers.
The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI.
This breadth matters because today's employers value candidates who can handle more than one layer of the system.
Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role.
SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): If recruiters aren't responding, it's not the end—it's feedback.
And you can fix it with the right plan.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Translate business process designs into clear master and transactional data definitions for S/4HANA.
Support template design by ensuring consistent data models, attributes, and hierarchies across geographies.
Validate data readiness for end-to-end process execution (Plan, Source, Make, Deliver, Return).
Define data objects, attributes, and mandatory fields.
Support business rules, validations, and derivations.
Align data structures to SAP best practices and industry standards.
Support data cleansing, enrichment, and harmonization activities.
Define and validate data mapping rules from legacy systems to S/4HANA.
Participate in mock conversions, data loads, and reconciliation activities.
Ensure data quality thresholds are met prior to cutover.
Support the establishment and enforcement of global data standards and policies.
Work closely with Master Data and Data Governance teams.
Help define roles, ownership, and stewardship models for value stream data.
Contribute to data quality monitoring and remediation processes.
Support functional and integrated testing with a strong focus on data accuracy.
Validate business scenarios using migrated and created data.
Support cutover planning and execution from a data perspective.
Provide post-go-live support and stabilization.
Requirements: 5 years of SAP functional experience with a strong data focus.
Hands-on experience with SAP S/4HANA (greenfield preferred).
Proven involvement in large-scale, global ERP implementations.
Deep understanding of value stream business processes and related data objects.
Experience supporting data migration, cleansing, and validation.
Required Skills: Strong knowledge of SAP master data objects (e.g., Material, Vendor/Business Partner, BOM, Routings, Pricing, Customer, etc.).
Understanding of S/4HANA data model changes vs.
ECC.
Experience working with SAP MDG or similar governance tools preferred.
Familiarity with data migration tools (e.g., SAP Migration Cockpit, LVM, ETL tools).
Ability to read and interpret functional specs and data models.
Strong stakeholder management and communication skills.
Ability to work across global, cross-functional teams.
Detail-oriented with strong analytical and problem-solving skills.
Comfortable operating in a fast-paced transformation environment.
Preferred Skills: Experience in manufacturing, building materials, or asset-intensive industries.
Prior role as Functional Data Lead or Data Domain Lead.
Experience defining global templates and harmonized data models.
Knowledge of data quality tools and metrics.
Experience with MGD and setting up cost center and profit center groups.
Most resumes never reach a hiring manager.
They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives.
That's why "I applied a lot” often leads to silence.
The fix is not more applications.
The fix is improving what your application communicates in the first 10 seconds.
Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more.
Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage.
Our purpose is to align your skills and profile with what employers are hiring for right now—so you get responses, interviews, and offers.
Why you may not be getting replies Your resume lacks stack clarity (recruiters can't quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: "What role are you targeting?”) You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You're not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile.
preparing you for screening, interview calls, technical rounds, and offer negotiation readiness.
Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers.
The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI.
This breadth matters because today's employers value candidates who can handle more than one layer of the system.
Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role.
SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): If recruiters aren't responding, it's not the end—it's feedback.
And you can fix it with the right plan.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Your role and responsibilities
About the Opportunity
IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.
You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.
This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale.
Key Responsibilities
Market Leadership & Growth
Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.
Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.
Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.
Strategic Advisory & Transformation Delivery
Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.
Architect integrated solutions that include:
Migration from legacy data platforms to modern cloud-based architectures
Data engineering and Information governance
Business intelligence and advanced analytics
GenAI-powered and agentic AI-driven automation and decisioning
Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.
Engagement Excellence & Financial Stewardship
Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.
Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.
Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.
Practice Building & Talent Development
Recruit, mentor, and grow top-tier consultants, architects, and data specialists.
Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.
Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.
Thought Leadership & Market Presence
Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.
Represent IBM at industry conferences, client events, webinars, and executive roundtables.
Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.
This position can be preformed anywhere in the US.
"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."
Required technical and professional expertise
Qualifications
12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors.
Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures.
Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with:
AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker)
Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services)
Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI)
Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms.
Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks.
Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs.
Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance.
Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives.
Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability.
Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams.
Preferred technical and professional experience
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
#J-18808-Ljbffr
At MVP Health Care, we're on a mission to create a healthier future for everyone. That means embracing innovation, championing equity, and continuously improving how we serve our communities. Our team is powered by people who are curious, humble, and committed to making a difference-every interaction, every day. We've been putting people first for over 40 years, offering high-quality health plans across New York and Vermont and partnering with forward-thinking organizations to deliver more personalized, equitable, and accessible care. As a not-for-profit, we invest in what matters most: our customers, our communities, and our team.
What's in it for you:
- Growth opportunities to uplevel your career
- A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
- Competitive compensation and comprehensive benefits focused on well-being
- An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.
You'll contribute to our humble pursuit of excellence by bringing curiosity to spark innovation, humility to collaborate as a team, and a deep commitment to being the difference for our customers. Your role will reflect our shared goal of enhancing health care delivery and building healthier, more vibrant communities.
The Sr. Quality Data Analyst will be responsible for leading and overseeing operational workflows within the Health Care Quality Analytics team. The ideal candidate will be accountable for ensuring the team delivers routine and ad hoc analyses and data visualizations to support MVP's health care quality functional area. The ideal candidate will have experience working with NCQA and CMS quality measures and HEDIS data to support improved health care outcomes and member satisfaction. They will also participate in automation efforts that create efficiencies and help to create a data-driven organization. The Sr. Quality Data Analyst will work with cross-functional teams, including business, technical, and Data Governance teams, to ensure the availability, accuracy, and reliability of data.
In alignment with MVP's core values, the Sr. Quality Data Analyst will be expected to demonstrate strong interpersonal and communication skills, promoting cooperation across organizational boundaries and encouraging groups to work together cooperatively. They will have strong analytical thinking skills, and a focus on continuously improving processes and reducing technical debt. Additionally, they will be self-motivated, with a sense of accountability and urgency in completing assignments.
Key Responsibilities:
- Lead and oversee the successful execution of operational workflows and health care quality data deliverables.
- Have experience working with HEDIS, Medicare Stars, and NYSDOH QARR measures data and a good understanding of health care quality measurement.
- Conduct analysis of large data sets to support health care quality improvement initiatives, including gap analysis, process optimization, and patient engagement.
- Collaborate with cross-functional teams to design, implement, and maintain data solutions that meet the needs of stakeholders and business partners.
- Ensure the accuracy and integrity of data through the development and implementation of data quality control processes and procedures.
- Provide training and mentorship to team members to promote growth and development.
- Participate in the development of data governance policies, standards, and procedures, and ensure compliance with regulatory requirements and industry best practices.
- Present data insights and recommendations to leadership, effectively communicating complex technical information to non-technical stakeholders.
- Continuously monitor and evaluate the effectiveness of operational workflows, making recommendations for improvements and leading implementation efforts as necessary.
Position Qualifications
Minimum Education
Bachelor's degree in a related field (e.g. Mathematics, Statistics, Computer Science, Epidemiology, or Healthcare) required; Master's degree preferred.
Minimum Experience
5+ years of experience in healthcare data analysis, with a strong focus on health care quality analytics and operations.
Experience leading teams and executing on operational workflows.
Required Skills
- Strong analytical skills, with the ability to turn data into actionable insights.
- Proficiency in SQL, Azure Databricks, data visualization tools (e.g. Tableau, PowerBI), and data manipulation tools (e.g. Alteryx, R, Python).
- Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.
- Ability to work independently and as part of a team, with strong project management skills and the ability to prioritize tasks effectively.
- Keen attention to detail.
- Subject matter expertise of healthcare industry quality metrics, Medicare Stars and HEDIS standards.
Pay Transparency
MVP Health Care is committed to providing competitive employee compensation and benefits packages. The base pay range provided for this role reflects our good faith compensation estimate at the time of posting. MVP adheres to pay transparency nondiscrimination principles. Specific employment offers and associated compensation will be extended individually based on several factors, including but not limited to geographic location; relevant experience, education, and training; and the nature of and demand for the role.
We do not request current or historical salary information from candidates.
$93,667.00-$124,576.75
MVP's Inclusion Statement
At MVP Health Care, we believe creating healthier communities begins with nurturing a healthy workplace. As an organization, we strive to create space for individuals from diverse backgrounds and all walks of life to have a voice and thrive. Our shared curiosity and connectedness make us stronger, and our unique perspectives are catalysts for creativity and collaboration.
MVP is an equal opportunity employer and recruits, employs, trains, compensates, and promotes without discrimination based on race, color, creed, national origin, citizenship, ethnicity, ancestry, sex, gender identity, gender expression, religion, age, marital status, personal appearance, sexual orientation, family responsibilities, familial status, physical or mental disability, handicapping condition, medical condition, pregnancy status, predisposing genetic characteristics or information, domestic violence victim status, political affiliation, military or veteran status, Vietnam-era or special disabled Veteran or other legally protected classifications.
To support a safe, drug-free workplace, pre-employment criminal background checks and drug testing are part of our hiring process. If you require accommodations during the application process due to a disability, please contact our Talent team at .
Job title: PhD Quantitative Researcher (Cross-Asset)
Firm: Elite Quantitative Buy-Side Fund – Multidisciplinary team of academic researchers, finance industry experts and STEM subject matter experts.
Salary: Up to $200,000 starting base + exceptional bonus package.
Location: Chicago (Onsite)
This firm is a scientific and data-driven systematic fund who are currently at the forefront of systematic trading.
As a result of their stellar and continued success in the industry, they’re currently aggressively scaling their quantitative strategies business in Chicago. This is an invaluable opportunity to develop and implement systematic strategies alongside genuine experts in the field of quantitative trading.
Additional Information:
- Market leader within computational finance and systematic trading. Arguably one of the best industry performers of the last 3 decades.
- Renowned for developing quantitative strategies in systematic trading across an array of investment strategies and products (Equities, Futures, FI, Macro, Vol).
- Multidisciplinary team of exceptional subject matter STEM experts from finance, academia, and technology.
- Highly collaborative trading environment with data and execution managed centrally.
- Furthermore they're exploring and integrating fundamental/discretionary trading with data-driven quantitative trading.
Role:
- Explore and leverage an array of complex and noisy data (market, tick, options, alt) to identify statistical patterns and unique market opportunities.
- Contribute towards existing and novel strategies by refining methodologies and exchanging research ideas.
- Leverage sophisticated statistical methods to understand and manage risk, profitability and transaction costs in conceptualizing new trading ideas.
- Back-test and implement productionized trading models in a live trading environment.
- Contribute to the full lifecycle research strategy from data ingestion to alpha generation.
Required skills:
- Academic degree in mathematics, statistics, physics, computer science, or another highly quantitative discipline.
- Industry-related internship either within computational finance or technology. (Wil consider candidates with internships in other related data-driven fields).
- Knowledge of algorithms, data structures, probability and statistics.
- Experience of dealing with a multitude of noisy data challenges in a data-driven environment.
- Proficient in either C++ or Python.
Desirable skills:
- Experience with translating mathematical models and algorithms into code.
- Proficient in exploring and attaining value from noisy and complex data sets (alt, market, options, tick).
If this opportunity is of interest, please apply direct or email me directly at .
Job Description Summary
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this role, you will be instrumental in designing, building, and maintaining robust and scalable data pipelines and solutions within the Microsoft Azure ecosystem. You will be responsible for developing and optimizing ETL/ELT processes, ensuring data quality, and enabling efficient data access for analytics and business intelligence. We are looking for a hands-on engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technologies
Key Responsibilities:
Design, develop, and maintain cloud-based data pipelines and ETL/ELT workflows.
Build and optimize data architectures to support structured and unstructured data processing.
Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
Implement data quality, security, and governance best practices.
Monitor and troubleshoot data workflows to ensure high availability and performance.
Optimize database and data storage solutions for performance and cost efficiency.
Contribute to cloud adoption, migration, and modernization initiatives.
Mandatory Skills:
Strong expertise with Azure cloud platform.
Strong experience in Databricks
Azure Data Factory proficiency required; building datasets, data flows, and pipelines in ADF (not just maintaining something already built)
Hands-on experience with ETL/ELT tools and frameworks.
Proficiency in SQL, Python, and data modeling.
Knowledge of CI/CD pipelines and infrastructure-as-code tools.
Understanding of data governance, security, and compliance.
Preferred Skills:
Exposure to API integration and microservices architecture.
Strong analytical and problem-solving skills.
Azure cloud certifications and/or past experience
AKS (Azure Kubernetes Service) experience, and ETL related to applications containerized & deployed on AKS (or EKS)
