Analytics Engineer Jobs in Delaware
Analytics Engineer jobs in Delaware are actively in demand, with concentrated hiring in financial services, pharmaceuticals, and state government technology modernization efforts. Wilmington, Newark, and Dover anchor most of the openings, where established employers like JPMorgan Chase, Incyte, and DuPont consistently bring on analytics engineers across seniority levels from junior analyst to senior data architect. The most sought-after specialties are dbt-based data modeling, cloud data warehouse development, and revenue analytics pipelines. Find a role that fits below and apply directly.
Find Analytics Engineer JobsOverview
Showing 5 of 43+ Analytics Engineer jobs











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 43 Analytics Engineer Jobs in Delaware
Find roles in Delaware that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in Delaware
Where Delaware roles are concentrated, by current openings.
Analytics Engineer Job Market in Delaware
A snapshot from current Delaware openings, updated as new roles post.
Who's Hiring
- JPMorganChase17

- OneMain Financial6

- Sallie Mae3

- PNC Financial Services3

- Citi2

Top Industries Hiring
- Banking & Financial Services17
- Investment & Asset Management12
- Fintech10
- Consulting & Professional Services4
- Technology & Software2
What Delaware Employers Look For
The qualifications that appear most often in analytics engineer jobs across Delaware.
- Bachelor's degree in computer science, statistics, data science, or a closely related field
- Proficiency in SQL and at least one analytics engineering tool such as dbt or Dataform
- Experience building and maintaining data models in cloud platforms like Snowflake, BigQuery, or Redshift
- Familiarity with business intelligence tools including Tableau, Looker, or Power BI
- Ability to collaborate with data scientists, analysts, and engineering teams on pipeline design
- Working knowledge of Python or another scripting language for data transformation tasks
Analytics Engineer Jobs in Delaware: Frequently Asked Questions
How do you become a analytics engineer in Delaware?
Analytics engineering in Delaware does not require a state-issued license or certification. Most employers look for a bachelor's degree in a quantitative field such as data science, computer science, statistics, or information systems. From there, building hands-on experience with SQL, dbt, and cloud data platforms is the clearest path. Candidates who can demonstrate working pipelines through a portfolio or relevant project work are consistently preferred by Delaware's financial services and life sciences employers.
Which companies hire analytics engineers in Delaware?
Companies currently hiring analytics engineers in Delaware include JPMorganChase, OneMain Financial, and Sallie Mae, per current listings on Migrate Mate as of July 2026. Delaware's concentration of financial holding companies, pharmaceutical firms, and state agency technology offices makes it a consistent market for data and analytics roles at multiple seniority levels.
Which Delaware cities have the most analytics engineer jobs?
Wilmington, Newark, and Dover account for the largest share of analytics engineer openings in Delaware. Wilmington leads because it hosts the headquarters and major operations of several large financial services companies, while Newark benefits from its proximity to the University of Delaware and a cluster of technology-adjacent employers, and Dover draws analytics roles tied to state government technology and healthcare administration contracts.
Are there remote analytics engineer jobs in Delaware?
Yes, and more than most fields. Analytics engineering is a desk-based, tooling-heavy discipline that translates well to distributed work. About 44% of analytics engineer openings tied to Delaware are remote or hybrid as of July 2026, reflecting how broadly employers in financial services and pharmaceuticals have adopted flexible arrangements for data roles. The parts of the work most commonly done remotely are data modeling, pipeline development, and documentation.
How can I get hired as a analytics engineer in Delaware with little or no experience?
The most realistic entry path is moving into analytics engineering from a data analyst or business intelligence analyst role, which many Delaware financial services firms and healthcare organizations hire for without requiring deep engineering experience. Building a portfolio with dbt and a public cloud data warehouse demonstrates practical skill when a resume is thin. Large Delaware employers such as JPMorgan Chase and Incyte offer early-career rotational technology programs and associate data roles that can serve as a direct bridge into analytics engineering over one to two years.
Where can I find and apply to analytics engineer jobs in Delaware?
You can find and apply to analytics engineer jobs in Delaware on Migrate Mate, which lists current openings from employers hiring in the state. Find a role that fits your experience and apply directly from the listing.
See All 43 Analytics Engineer Jobs in Delaware
Find roles in Delaware that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs