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Manager Model Risk Management Jobs in Rutherford, NJ

Manage a team of audit staff responsible for delivering against the annual Model Risk Audit Plan * Assess associated risks and controls and complete engagements within the Model Risk Audit Plan

Model Risk Management * Serve as a key stakeholder and subject matter expert in the firm's model risk governance program * Partner with Quantitative Research, Data Science, and Finance teams to ...

Model Risk Management * Serve as a key stakeholder and subject matter expert in the firm's model risk governance program * Partner with Quantitative Research, Data Science, and Finance teams to ...

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that ... Job Title: Context Engineer (Model Risk Focus) Location: NYC, NY, 10003 Duration: 6 months Rate ...

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Manager Model Risk Management information

See Rutherford, NJ salary details

$44.3K

$105.7K

$170.8K

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

As of Jul 12, 2026, the average yearly pay for manager model risk management in Rutherford, NJ is $105,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $134,600.00 per year, depending on experience, location, and employer.

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.

What are the most commonly searched types of Model Risk Management jobs in Rutherford, NJ? The most popular types of Model Risk Management jobs in Rutherford, NJ are:
What job categories do people searching Manager Model Risk Management jobs in Rutherford, NJ look for? The top searched job categories for Manager Model Risk Management jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Manager Model Risk Management jobs? Cities near Rutherford, NJ with the most Manager Model Risk Management job openings:
Senior Data Scientist, AI & Model Risk

Senior Data Scientist, AI & Model Risk

Block, Inc

New York, NY • On-site

Full-time

Posted 10 days ago


Block rating

7.9

Company rating: 7.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

10th of 20 rated payment service providers


Job description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Role
As a Senior Data Scientist focusing on AI & Model Risk, you will lead and coordinate AI risk assessments for Generative AI and Large Language Model use cases, applying Model Risk Management principles to ensure safe, compliant, and responsible deployment. This role sits at the intersection of Model Risk Management and AI Governance, with close coordination with Information Security, Compliance, and Legal stakeholders. You will tackle complex and ambiguous challenges, applying sound judgment to select appropriate methodologies and drive risk-based decisions with minimal day-to-day oversight. You will partner with senior stakeholders across Risk, Engineering, Legal, Compliance, and Information Security to drive assessment outcomes and continuously strengthen governance practice.
This role puts you at the center of an innovative team within SFS that's actively shaping how AI risk management works in practice; Operationalizing principles into processes that enable safe, effective AI deployment. If you're excited by the challenge of shaping how AI gets deployed safely and responsibly in financial services, this is the place to be.
You Will
  • Lead end-to-end AI Risk Assessments for generative AI and LLM use cases across the Bank; Embedding in Block's enterprise-wide GenAI review process, coordinating cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance, MRM, ERM, BRC, TPRM, Financial Crimes), and managing timelines to ensure reviews are completed within SLA.
  • Review AI system design and documentation; Including retrieval sources, assumptions, limitations, fallback plans, guardrail configurations, and change management procedures - across banking use cases such as fraud detection, BSA/AML compliance, credit decisioning, and customer-facing applications, ensuring governance controls are commensurate with each use case's risk profile.
  • Assess pre-deployment testing for adequacy inclusive of output integrity, hallucination detection, boundary and edge case testing, ethical and safety guardrails, bias testing, A/B testing, volume testing, and UAT - designing and conducting independent testing as needed.
  • Evaluate ongoing monitoring plans for comprehensiveness - including accuracy, hallucination rates, drift detection, sensitive data controls, reliability metrics, CSAT, acceptable performance ranges, and documented remediation procedures.
  • Develop and maintain templates, tools, and procedures to support the effectiveness and scalability of the AI Risk Governance Program.
  • Monitor the evolving regulatory landscape for AI in banking - including FFIEC IT Examination Handbook standards, FDIC Financial Institution Letters, interagency statements, and the anticipated RFI on AI model risk management referenced in SR 26-2 - and incorporate emerging guidance into the AI risk governance program; support SFS's response to regulatory inquiries as needed.

You Have
  • A minimum of 5 years of related experience with a Bachelor's degree in a quantitative field; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience in risk management, model risk management, or AI risk management
  • Proficiency in Python or similar languages for evaluating AI system behavior, writing test scripts, or analyzing model outputs
  • Strong understanding of generative AI architectures; Including LLMs, transformer models, RAG systems, and agentic AI, plus hands-on experience interacting with and critically evaluating these systems, sufficient to assess design decisions, output quality, and limitations
  • Understanding of interagency model risk management principles, including SR 26-2
  • Knowledge of AI testing methodologies, ex. functional testing, bias testing, adversarial testing, and performance monitoring plus familiarity with data privacy and security principles (encryption, access controls, data classification)
  • Excellent written and verbal communication and the ability to translate complex technical AI concepts for non-technical stakeholders, senior management, and regulators
  • Strong analytical judgment with the ability to manage multiple concurrent assessments, prioritize effectively, and drive risk-based decisions with minimal day-to-day oversight

Nice to Have
  • Master's degree in AI/ML, Cybersecurity, Data Science, or related field
  • Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001, or equivalent) and the FFIEC IT Examination Handbooks
  • Experience with AI governance tools and platforms (model registries, monitoring dashboards, risk scoring systems)
  • Experience with explainability tools (SHAP, LIME, attention visualization)
  • Certifications: CRISC, PRM, FRM, or AI-specific certifications such as NIST AI RMF practitioner or ISO 42001 Lead Implementer
  • Prior experience in a second-line-of-defense or internal audit role at a bank or financial institution
  • Experience developing AI risk governance frameworks in environments where prescriptive regulatory guidance does not yet exist

Technologies We Use and Teach
Block is investing heavily in AI, and our workflows are evolving accordingly. This creates a rare opportunity to work with emerging systems as they take shape, both leveraging them in practice and influencing how they are designed. The team is at the forefront of defining risk governance in an AI-first environment, with the goal of setting new industry standards.
We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page .
While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A: $163,600 - $225,000 USD
Zone B: $155,400 - $213,700 USD
Zone C: $147,300 - $202,500 USD
Zone D: $139,000 - $191,200 USD
Application Guidelines
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
Use of AI in Our Hiring Process
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact us here with hiring practice or data usage questions.
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

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