Analytics Engineer Jobs in Wilmington, DE
Analytics Engineer jobs in Wilmington, Delaware are in steady demand, concentrated in the downtown Central Business District, Brandywine Hundred, and the Riverfront across financial services, insurance, and healthcare, with employers like JPMorganChase, OneMain Financial, and PNC Financial Services actively hiring. See the openings below and apply to the ones that match your experience.
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Quantitative Analytics Lead– Model Risk Management
Location: Wilmington, DE (Hybrid)
OneMain is seeking a Quantitative Analytics Lead, Model Risk Management (MRM) to help lead and strengthen the firm’s Model Risk Management program in alignment with regulatory guidance, including SR 11‑7 and OCC supervisory expectations. This role supports a diverse consumer credit portfolio, including Personal Loans, Credit Cards, Automotive, and Point‑of‑Sale lending.
The position offers a unique opportunity to apply advanced analytics and machine learning expertise while exercising independent challenge across the full model lifecycle. The role also plays a key part in regulatory readiness, audit engagement, and the continued evolution of OneMain’s Fair Lending analytical governance framework.
Responsibilities
- Provide hands‑on model governance oversight across the full model lifecycle, including development, implementation, validation, use, and ongoing monitoring of machine learning models supporting marketing, origination, servicing, and loss mitigation.
- Perform independent and effective challenge of models, assessing conceptual soundness, data integrity, methodology, assumptions, and limitations. Evaluate key development decisions, including target construction, training versus validation strategies, sampling approaches, performance windows, hyper‑parameter tuning, model performance metrics, variable selection, and swap‑set analyses.
- Provide robust challenge and governance oversight of CECL and loss forecasting models, serving as a central point of contact for internal audit, external audit, and regulatory examinations. Prepare clear, well‑supported model governance and validation documentation in support of model approvals and ongoing use.
- Conduct periodic model validations and assess whether validation activities performed by internal teams or third parties meet Model Risk Management policy requirements, including outcomes analysis, benchmarking, and sensitivity testing, as appropriate.
- Apply analytics, business rules, and other risk tools to monitor model performance and behavior, identify emerging risks or anomalies, and recommend remediation or model enhancements when warranted.
- Contribute to the ongoing modernization of the MRM function by leveraging advanced analytics and AI‑enabled tools to improve governance efficiency, documentation quality, and knowledge management.
- Participate in broader artificial intelligence and advanced analytics initiatives in partnership with the data science & technology organization, ensuring appropriate governance and risk controls are embedded from inception.
- Support OneMain’s Fair Lending Analytics Program by developing fair lending models and conducting statistically rigorous analyses to assess potential disparate impact and compliance risk.
- Apply regression, classification, and related statistical techniques to perform deep‑dive analyses, clearly articulating both statistical and practical significance to inform risk decisions and regulatory communications.
Qualifications
- Master’s degree in a quantitative discipline (Statistics, Mathematics, Data Science, or related field) required; PhD preferred.
- 3+ years of experience in statistics, data science, decision science, or a related quantitative field.
- 3+ years of experience building, reviewing, or validating machine learning models within the consumer finance industry.
- Strong understanding of consumer lending products, credit risk practices, and regulatory expectations related to model risk management.
- Hands‑on experience with machine learning techniques, particularly tree‑based models such as XGBoost, and strong analytical “deep‑dive” capabilities.
- Exposure to modern AI concepts, including Generative AI, Large Language Models (LLMs), and Retrieval‑Augmented Generation (RAG) systems, with an appreciation for associated governance and risk considerations.
- Proven ability to lead and manage complex, ambiguous projects and provide structured, defensible analytical judgment.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders, auditors, and regulators.
- Demonstrated intellectual curiosity, strong idea generation, and an interest in research, innovation, and continuous improvement.
- Proficiency in Python and SQL; experience with AWS and SageMaker is a strong plus.
Who We Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with:
Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
Up to 4% matching 401(k)
Employee Stock Purchase Plan (10% share discount)
Tuition reimbursement
Paid time off (15 days’ vacation per year, plus 2 personal days, prorated based on start date)
Paid sick leave as determined by state or local ordinance, prorated based on start date
Paid holidays (11 days per year, based on start date)
Paid volunteer time (3 days per year, prorated based on start date)
OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.
See All 35 Analytics Engineer Jobs in Wilmington
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Find Analytics Engineer JobsAnalytics Engineer Job Market in Wilmington
Who's Hiring
- JPMorganChase16

- OneMain Financial6

- PNC Financial Services3

- Citi2

- CardWorks Financial2

Top Industries Hiring
- Banking & Financial Services15
- Investment & Asset Management12
- Fintech10
- Consulting & Professional Services4
- Technology & Software2
Analytics Engineer Jobs in Wilmington: Frequently Asked Questions
How do I get a analytics engineer job in Wilmington?
The strongest path into Wilmington's analytics engineer market is targeting its dominant financial services and insurance sector, where large banks, credit card companies, and specialty insurers concentrate along the downtown corridor and Brandywine Hundred. Candidates who demonstrate proficiency with dbt, Snowflake, or cloud data warehouses and can speak to regulatory data environments stand out. Applying directly to in-house analytics teams at Wilmington's major financial institutions gives you the best foothold in this market.
Which companies hire analytics engineers in Wilmington?
Companies currently hiring analytics engineers in Wilmington include JPMorganChase, OneMain Financial, and PNC Financial Services, per current listings on Migrate Mate as of July 2026. Wilmington's employer base skews heavily toward large financial institutions, insurance carriers, and healthcare organizations, many of which maintain substantial in-house data engineering teams.
Are there remote analytics engineer jobs in Wilmington?
Yes, analytics engineer roles are well-suited to remote and hybrid arrangements since the work is largely desk-based and tool-driven. About 33% of analytics engineer openings tied to Wilmington are remote or hybrid as of July 2026, reflecting the broader trend among Wilmington's financial and insurance employers. Data modeling, pipeline development, and documentation tasks are the functions most commonly performed remotely in this market.
How can I get a analytics engineer job in Wilmington with little or no experience?
The most realistic entry path in Wilmington is transitioning from a data analyst or business intelligence role at one of the city's financial services or healthcare employers, where analytics engineer responsibilities often overlap with existing analyst work. Entry-level data or reporting analyst positions at Wilmington's large banks and insurance carriers regularly lead to analytics engineering roles as candidates build SQL and data modeling skills. A portfolio demonstrating dbt or Snowflake projects, even from personal work, gives Wilmington hiring managers concrete evidence of readiness.
Which industries hire the most analytics engineers in Wilmington?
The sectors hiring the most analytics engineers in Wilmington are Banking & Financial Services, Investment & Asset Management, and Fintech, based on current listings on Migrate Mate as of July 2026. Wilmington's standing as a major U.S. corporate and financial hub, home to numerous banks, credit companies, and insurance carriers, drives persistent demand for analytics engineers who can manage complex, compliance-sensitive data environments.
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