Back to jobs

Quantitative Analytics Manager – Model Risk Management

Pay
Pay not listed
Work setting
Hybrid — work setting source
Quantitative Analytics Manager – Model Risk Management Location: Wilmington, DE (Hybrid) OneMain is seeking a Quantitative Analytics Manager, Model Risk Management (MRM) to help lead and strengthen the firm’s Model Risk Management program in alignment with regulatory guidance, including SR 26-2 and OCC supervisory expectations. This role supports a diverse consumer credit portfolio, including Personal Loans, Credit Cards, and Automotive lending.
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Provide hands-on governance oversight across the full model lifecycle for ML models

  • Independently challenge models on conceptual soundness, data, methods and assumptions

  • Conduct periodic model validations and check third-party validation quality

  • Monitor model performance and recommend remediation or enhancements

  • Provide governance oversight of loss forecasting models

From the employer’s posting
Provide hands‑on model governance oversight across the full model lifecycle
Perform independent and effective challenge of models
Conduct periodic model validations and assess whether validation activities performed by internal teams or third parties meet Model Risk Management policy requirements
Apply analytics, business rules, and other risk tools to monitor model performance and behavior
Provide governance oversight of loss forecasting models

What you’ll bring

All qualifications

Core experience

  • Master’s degree in a quantitative discipline (Statistics, Mathematics, Data Science, or related field) required; PhD preferred.
  • 5+ 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.
  • Proven ability to lead and manage complex, ambiguous projects and provide structured, defensible analytical judgment.
  • Experience with analytical fair lending models and analysis is a strong plus
Qualification wording
Master’s degree in a quantitative discipline (Statistics, Mathematics, Data Science, or related field) required; PhD preferred.
5+ 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.
Proven ability to lead and manage complex, ambiguous projects and provide structured, defensible analytical judgment.
Experience with analytical fair lending models and analysis is a strong plus
Education & alternatives
Qualifications - Master’s degree in a quantitative discipline (Statistics, Mathematics, Data Science, or related field) required; PhD preferred. - 5+ years of experience in statistics, data science, decision science, or a related quantitative field.

About Myhrhome

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority.

In the employer’s words · Read in context

Apply at Myhrhome

Posting record

Report an error

Open 6 monthsWe first saw this posting 183 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 10, 2026183 days ago
Recorded sightings
310
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 183

Up longer than most. Similar jobs usually come down between day 6 and day 57.

Well past Myhrhome’s usual: its jobs come down by about day 33.

From 1,015 similar postings that came down, and 13 of Myhrhome’s. Coming down is not always a hire.

Myhrhome is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • SageMaker
  • XGBoost
Where the posting names them
- Experience with analytical fair lending models and analysis is a strong plus - Proficiency in Python and SQL; experience with AWS and SageMaker is a strong plus. Who We Are
- 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. - Proven ability to lead and manage complex, ambiguous projects and provide structured, defensible analytical judgment.

Your next step

Complete your application on myhrhome.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Data Governance roles

New Data Governance postings at the employers we follow are up 175% over the last 5 weeks compared with the 5 before.

Weekly new Data Governance postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 64, the most 443, and the latest week had 443.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Governance, by the work the posting describes.

Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.

Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.

A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.

Job description

View original posting ↗

Quantitative Analytics Manager – Model Risk Management

Location: Wilmington, DE (Hybrid)

OneMain is seeking a Quantitative Analytics Manager, Model Risk Management (MRM) to help lead and strengthen the firm’s Model Risk Management program in alignment with regulatory guidance, including SR 26-2 and OCC supervisory expectations. This role supports a diverse consumer credit portfolio, including Personal Loans, Credit Cards, and Automotive 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 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 governance oversight of loss forecasting models
  • 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.
  • 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.
  • 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.
  • 5+ 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.
  • 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.
  • Experience with analytical fair lending models and analysis is a strong plus
  • 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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Wilmington, DE

Quantitative Analytics Manager – Model Risk Management Location: Wilmington, DE (Hybrid) OneMain is seeking a Quantitative Analytics Manager, Model Risk Management (MRM) to help lead and strengthen the firm’s Model Risk Management program in alignment with regulatory guidance, including SR 26-2 and OCC supervisory expectations. This role supports a diverse consumer credit portfolio, including Personal Loans, Credit Cards, and Automotive lending.
Work authorization
- 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.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.