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Director Model Risk Governance Jobs in Delaware (NOW HIRING)

... and supporting models/tools, with an emphasis on governance, performance outcomes, and risk ... without direct authority. * Strong analytical capability and problem-solving skills with the ...

... and supporting models/tools, with an emphasis on governance, performance outcomes, and risk ... without direct authority. * Strong analytical capability and problem-solving skills with the ...

... in support of the control and governance agenda. * Take ownership for managing risk and ... Join us as a Model Validation AVP, where you will play a key role in independently reviewing and ...

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Director Model Risk Governance information

What are the key skills and qualifications needed to thrive as a Director of Model Risk Governance, and why are they important?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What are popular job titles related to Director Model Risk Governance jobs in Delaware? For Director Model Risk Governance jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in Delaware look for? The top searched job categories for Director Model Risk Governance jobs in Delaware are:
What cities in Delaware are hiring for Director Model Risk Governance jobs? Cities in Delaware with the most Director Model Risk Governance job openings:

Quantitative Analytics Manager - Model Risk Management

OneMain Financial

Wilmington, DE

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

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 117 and OCC supervisory expectations. This role supports a diverse consumer credit portfolio, including Personal Loans, Credit Cards, Automotive, and PointofSale 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 handson 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, hyperparameter tuning, model performance metrics, variable selection, and swapset 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, wellsupported 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 AIenabled 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 deepdive 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.
  • Handson experience with machine learning techniques, particularly treebased models such as XGBoost, and strong analytical "deepdive" capabilities.
  • Exposure to modern AI concepts, including Generative AI, Large Language Models (LLMs), and RetrievalAugmented 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 nontechnical 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.


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