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Manager Model Risk Management Jobs in Gibbstown, NJ

Analyst, AI Risk Management

Radnor, PA · Hybrid

$72K - $131K/yr

Collaborates with Legal, InfoSec, Privacy, Model Risk Management, and AI/ML Engineering teams to align governance activities with enterprise risk management expectations. What we're looking for Must ...

Analyst, AI Risk Management

Radnor, PA · Hybrid

$72K - $131K/yr

Collaborates with Legal, InfoSec, Privacy, Model Risk Management, and AI/ML Engineering teams to align governance activities with enterprise risk management expectations. What we're looking for Must ...

Analyst, AI Risk Management

Radnor, PA · On-site

$72K - $131K/yr

Collaborates with Legal, InfoSec, Privacy, Model Risk Management, and AI/ML Engineering teams to align governance activities with enterprise risk management expectations. What we're looking for Must ...

Perform cost and schedule uncertainty modeling, including Monte Carlo simulations, to evaluate ... Establish standardized risk management processes and frameworks to protect client interests

Quant Audit Manager

King Of Prussia, PA

$103K - $135K/yr

Recommending improvements to model risk management systems and processes. b. Being knowledgeable of the organization, operations, policies, and procedures related to the use and management of models ...

Risk Management REPORTS TO: VP of Risk Management LEGENDS GLOBAL Legends Global is the premier partner to the world's greatest live events, venues, and brands. We deliver a fully integrated solution ...

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Showing results 1-20

Manager Model Risk Management information

See Gibbstown, NJ salary details

$42.7K

$101.7K

$164.3K

How much do manager model risk management jobs pay per year?

As of Jun 15, 2026, the average yearly pay for manager model risk management in Gibbstown, NJ is $101,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the highest paying risk management job?

The highest paying risk management roles are often senior positions such as Chief Risk Officer (CRO) or Director of Risk Management, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced certifications like FRM or CFA, and strong leadership skills in financial institutions or large corporations.

What does a model risk manager do?

A model risk manager oversees the identification, assessment, and mitigation of risks associated with financial and operational models used within an organization. They ensure models are accurate, compliant with regulations, and perform as intended, often working with validation teams and utilizing tools like statistical software. Their role helps prevent financial loss and supports sound decision-making.

What is the difference between Manager Model Risk Management vs Model Risk Analyst?

AspectManager Model Risk ManagementModel Risk Analyst
CredentialsTypically requires advanced degrees (e.g., MBA, Master's in Finance or Risk), certifications like FRM or CFAOften requires similar credentials, such as FRM or CFA, but may have less emphasis on managerial certifications
Work EnvironmentLeads teams, manages risk frameworks, and interacts with senior managementPerforms detailed risk analysis, supports model validation, and reports findings
Employer & Industry UsageCommon in banking, asset management, and financial institutionsFound in similar environments, often as a supporting role to managers

The Manager Model Risk Management oversees the entire model risk framework, manages teams, and interacts with senior stakeholders. In contrast, the Model Risk Analyst focuses on detailed analysis, validation, and reporting of models. Both roles require similar credentials but differ in scope and responsibilities.

Is model risk management a good career?

Model risk management is a specialized field within financial and banking sectors that involves identifying, assessing, and mitigating risks associated with financial models. It offers opportunities for growth, requires strong analytical skills, and often involves certifications like FRM or CFA. The role is considered stable and in demand due to increasing regulatory requirements and reliance on complex models.

What is the salary of model risk management in Deloitte?

The salary for a Manager in Model Risk Management at Deloitte typically ranges from $110,000 to $150,000 annually, depending on experience, location, and performance. Additional benefits may include bonuses, health insurance, and professional development opportunities.
What are the most commonly searched types of Model Risk Management jobs in Gibbstown, NJ? The most popular types of Model Risk Management jobs in Gibbstown, NJ are:
What job categories do people searching Manager Model Risk Management jobs in Gibbstown, NJ look for? The top searched job categories for Manager Model Risk Management jobs in Gibbstown, NJ are:
What cities near Gibbstown, NJ are hiring for Manager Model Risk Management jobs? Cities near Gibbstown, NJ with the most Manager Model Risk Management job openings:
Infographic showing various Manager Model Risk Management job openings in Gibbstown, NJ as of June 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $101,702 per year, or $48.9 per hour.
Quantitative Analytics Manager - Model Risk Management

Quantitative Analytics Manager - Model Risk Management

OneMain Financial

Wilmington, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 96 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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