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Head Of Model Risk Management Jobs in Delaware (NOW HIRING)

Barclays

Model Validation AVP

Wilmington, DE

This role sits within Model Risk Management, supporting the integrity and effectiveness of models ... used across the business. You will collaborate closely with stakeholders to deliver high-quality ...

Fidelity International

$64 - $82.75/hr

To meet the demands of our current and future business models, Architecture set standards ... and risk management, ensuring deviations are identified early and addressed effectively. * Data ...

Fidelity International

The team partners closely with portfolio management, risk, product, client reporting and technology ... The role ensures bestinclass attribution methodologies, scalable operating models and high-quality ...

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$54K

$143.3K

$260.2K

How much do head of model risk management jobs pay per year?

As of May 30, 2026, the average yearly pay for head of model risk management in Delaware is $143,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $167,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Head Of Model Risk Management, and why are they important?

To thrive as a Head Of Model Risk Management, you need deep quantitative expertise, advanced knowledge of risk management frameworks, and a strong background in finance or mathematics, often supported by advanced degrees such as a PhD or MSc. Familiarity with statistical software (like Python, R, or SAS), model validation tools, and regulatory compliance systems is typically required. Exceptional leadership, communication, and critical thinking skills are essential for effectively managing teams and presenting complex risk issues to stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and sound decision-making within financial institutions.

What are the main challenges faced by a Head of Model Risk Management in maintaining regulatory compliance?

A Head of Model Risk Management often faces the challenge of keeping up with evolving regulatory expectations and ensuring that all models used within the organization are compliant. This involves constantly monitoring regulatory updates, coordinating with various departments to implement necessary changes, and maintaining detailed documentation for audit purposes. Additionally, the role requires balancing the need for innovation in modeling techniques with the necessity of robust risk controls and transparent validation processes. Regular communication with risk, compliance, and audit teams is essential to address these challenges effectively.

What does a Head of Model Risk Management do?

A Head of Model Risk Management oversees the processes and teams responsible for identifying, assessing, and mitigating risks associated with financial and predictive models used within an organization. This role involves establishing and maintaining model risk frameworks, ensuring regulatory compliance, and leading model validation activities. They also coordinate with other departments to ensure the effective management and governance of all models, providing guidance on best practices and emerging risks. Ultimately, their goal is to minimize model-related losses and support sound decision-making across the business.

How much does a head of risk make?

A Head of Model Risk Management typically earns between $150,000 and $250,000 annually, depending on the size of the organization, location, and experience. Senior roles may include bonuses and benefits, and strong expertise in risk modeling, regulatory standards, and leadership are often required.

What is the difference between Head Of Model Risk Management vs Model Validation Manager?

AspectHead Of Model Risk ManagementModel Validation Manager
Primary FocusOversees overall model risk framework, governance, and strategyConducts independent validation and testing of models
ResponsibilitiesRisk oversight, policy development, senior stakeholder communicationModel testing, performance assessment, validation reports
CredentialsAdvanced degrees, certifications like FRM, CFA, or CAMS, experience in risk managementQuantitative background, certifications like CFA, FRM, strong modeling expertise
Work EnvironmentStrategic, leadership role within risk management teamsTechnical, analytical role focused on model validation tasks

The Head Of Model Risk Management oversees the entire model risk framework, focusing on strategy and governance, while the Model Validation Manager specializes in testing and validating individual models. Both roles require strong quantitative skills and relevant certifications, but differ in scope and responsibilities.

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

Quantitative Analytics Manager - Model Risk Management

OneMain Financial

Wilmington, DE • On-site

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 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.
  • 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.
  • 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.

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