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Model Risk Analyst Jobs in New York (NOW HIRING)

IDT Corporation

Senior Risk Analyst

Newark, NJ · On-site

$135 - $165/hr

Role Overview The Senior Risk Analyst role is critical in protecting the business from fraud and ... Experience with machine learning models or analytics platforms is a plus. * Comfortable operating ...

JP Morgan Chase

Capital Risk Analyst

Brooklyn, NY · On-site

Conduct review of Basel capital models to ensure compliance with the applicable rule requirements ... Experience in one or more of the following areas: capital policy, risk management, risk analytics ...

JPMorgan Chase & Co

Capital Risk Analyst

Brooklyn, NY · On-site

Conduct review of Basel capital models to ensure compliance with the applicable rule requirements ... Experience in one or more of the following areas: capital policy, risk management, risk analytics ...

Aflac

AVP, Quantitative Risk Analyst

Manhattan, NY · On-site

$140K - $185K/yr

Strong model development experience in programming languages such as C#, Python, and VBA required ... the company's risk analysis system; in particular, leads the technical development and/or ...

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Model Risk Analyst information

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$44

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How much do model risk analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for model risk analyst in New York is $44.29, according to ZipRecruiter salary data. Most workers in this role earn between $32.60 and $53.89 per hour, depending on experience, location, and employer.

What is a model risk analyst?

A Model Risk Analyst evaluates, validates, and monitors financial models to ensure they function correctly and comply with regulatory standards. They identify potential risks in model assumptions, data quality, and methodologies. Their work helps financial institutions mitigate model-related risks that could lead to inaccurate decision-making. Analysts collaborate with model developers, risk managers, and auditors to improve model performance and documentation. Strong analytical, statistical, and programming skills are essential for this role.

What skills and qualifications are needed to be a model risk analyst?

To thrive as a Model Risk Analyst, you need strong quantitative analysis skills, a background in mathematics, statistics, finance, or a related field, and experience in model validation practices. Familiarity with programming languages such as Python, R, SAS, and tools like Excel, along with knowledge of regulatory requirements such as SR 11-7, is typically essential; certifications like FRM or CFA can be advantageous. Excellent communication, attention to detail, and critical thinking are important soft skills for presenting findings and collaborating with cross-functional teams. Mastery of these skills ensures the integrity and reliability of risk models, supporting sound business decisions and regulatory compliance.

What challenges might a model risk analyst face in their daily work?

Model Risk Analysts often encounter challenges such as ensuring data quality, identifying model limitations, and keeping up with evolving regulatory standards. They must frequently balance the technical rigor needed to validate complex financial models with the need to communicate their findings clearly to stakeholders without a technical background. Additionally, adapting quickly to new modeling methodologies or changing business priorities is common. Overcoming these challenges requires ongoing learning, strong collaboration with model developers, and a proactive approach to risk management.

Do model risk analysts make good money?

Model risk analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions often start around $70,000 annually, with experienced professionals earning over $120,000, especially in financial services and banking sectors. Certifications like CFA or FRM and proficiency in programming tools such as Python or SAS can enhance earning potential.

What does a model risk analyst do?

A model risk analyst evaluates and monitors the risks associated with financial and operational models used by organizations. They review model assumptions, validate model accuracy, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent financial loss and supports decision-making processes.

What are popular job titles related to Model Risk Analyst jobs in New York?

For Model Risk Analyst jobs in New York, the most frequently searched job titles are:

What job categories do people searching Model Risk Analyst jobs in New York look for?

The top searched job categories for Model Risk Analyst jobs in New York are:

Model Risk Analyst jobs near you
Infographic showing various Model Risk Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $92,128 per year, or $44.3 per hour.

SVP - Model Risk Management AI, Wealth and Investments

BNY

Manhattan, NY • On-site

Full-time

Posted 26 days ago

Job description

We’re seeking a future team member for the role of SVP - Model Risk Management AI, Wealth and Investment to join our Model Risk team. This role is located in New York City, New York. 

In this role, you’ll make an impact in the following ways:

  • Lead the Model Risk Management framework for a defined portfolio of models (e.g., pricing, risk, capital, stress testing, AI/ML, and valuation models) by setting clear standards for model risk identification, assessment, validation and governance, and by ensuring consistent application across businesses and legal entities.
  • Oversee and review independent model validations and ongoing performance monitoring by demonstrating deep quantitative expertise, providing effective challenge to model design, data, assumptions and implementation, and ensuring that model risk is appropriately quantified, documented and mitigated.
  • Establish and chair or actively contribute to model risk governance forums by defining decision‑making processes, setting model approval thresholds and ensuring that model risk topics are escalated, debated and resolved in line with internal policies and regulatory expectations.
  • Advise senior business, risk and Engineering stakeholders on model risk issues and emerging quantitative methodologies by translating complex analytical concepts into clear risk insights and recommendations that support sound business decisions and responsible innovation.
  • Drive continuous enhancement of the firm’s model risk policies, standards, tools and methodologies by monitoring external regulatory developments, industry good practice and advances in quantitative methods, and by embedding these into practical, risk‑sensitive processes.
  • Manage, develop and coach a team of model risk professionals by setting clear objectives, providing technical and behavioral guidance, promoting a culture of rigorous challenge and collaboration, and ensuring appropriate capacity and capabilities to meet current and emerging model risk demands.
  • This role will be focused on GenAI and Wealth Models. 


To be successful in this role, we’re seeking the following:  

  • Advanced degree (Master’s or PhD preferred) in a quantitative field such as mathematics, statistics, econometrics, physics, engineering, quantitative finance or computer science, or equivalent experience.
  • Professional certifications in risk, quantitative finance or related areas (e.g., FRM, PRM, CQF) are advantageous.
  • Strong knowledge of financial markets, products and risk management practices, including experience with complex mathematical/statistical modeling techniques.
  • Typically, 8-12 years of experience
  • Advanced quantitative and analytical skills, including deep knowledge of model development, validation and performance measurement techniques, and the ability to provide credible effective challenge.
  • Strong leadership, communication and stakeholder management skills, with the ability to influence senior leaders, shape governance decisions and translate complex quantitative issues into clear risk insights.
  • Proven people management capabilities, including building and leading high‑performing quantitative teams, coaching technical staff and fostering a culture of integrity, accountability and continuous improvement in risk management.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

Apply