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Model Risk Analyst Jobs in New York (NOW HIRING)

Initio Capital

Deal Review & Risk Analyst

New York, NY · Remote

$50 - $200/hr

Deal Review & Risk Analysts operate as independent contractors and are activated through Initio ... Review financial models for accuracy, assumptions, and internal consistency * Evaluate valuation ...

Soros Fund Management

Market Risk Analyst

New York, NY · On-site

$150K - $200K/yr

Support onboarding of new products and coordinate model enhancements with quant and tech teams ... Partner with technology to transform risk tools and analytics into robust, scalable production ...

Soros Fund Management

Market Risk Analyst

New York, NY

$150K - $200K/yr

Support onboarding of new products and coordinate model enhancements with quant and tech teams ... Partner with technology to transform risk tools and analytics into robust, scalable production ...

DRW

Credit Risk Analyst

New York, NY · On-site

$90K - $140K/yr

Analyze and manage counterparty credit risk * Monitor daily trading activity according to ... Strong understanding of credit rating models and credit analysis * Must have excellent written and ...

Initio Capital

Deal Review & Risk Analyst

New York, NY · Remote

$1K - $10K/mo

... handling modeling * Help maintain high-quality deal vetting standards within the Initio Sphere ... Submit a Deal Review & Risk Analyst application with background details * Complete verification and ...

Merican

Context Engineer (Model Risk Focus)

New York, NY · On-site

$50 - $53/hr

... BPM), analytics, and AI-driven solutions. The company partners with organizations to improve ... Job Title: Context Engineer (Model Risk Focus) Location: NYC, NY, 10003 Duration: 6 months Rate ...

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How much do model risk analyst jobs pay per hour?

As of Jun 1, 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 job?

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 are the key skills and qualifications needed to thrive in the Model Risk Analyst position, and why are they important?

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 are some typical challenges a Model Risk Analyst might 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.

How much do risk analysts get paid?

Risk analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, industry, and location. Model risk analysts, a specialized role, often have salaries in this range but may earn more with advanced certifications or in financial sectors. Entry-level positions usually start lower, while senior roles can exceed $100,000 annually.
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Model Risk Analyst jobs near you
Infographic showing various Model Risk Analyst job openings in New York as of May 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $92,128 per year, or $44.3 per hour.

Model Risk Quant Developer -New York, NY -Hybrid

FinTrust Connect LLC

Manhattan, NY • Hybrid

$110 - $180/hr

Other

Posted 24 days ago

Job description

About the job Model Risk Quant Developer -New York, NY -Hybrid
Model Risk Quant Developer -New York, NY -Hybrid
FinTrust Connect -New York, NY -Hybrid
Share Your Resume and Build Your Future!
Join our Talent Community for New York. Demand is strong for Python first quant developers who partner with model risk and validation teams to productionize libraries, automate back tests, and support SR 11 7 driven testing and controls.
As a Model Risk Quant Developer you will build and harden production grade code that enables risk models and validation tools across market credit and liquidity domains. You will collaborate with quants and validators and technology to deliver reproducible results, traceable data, and exam ready evidence.
Requirements:

  • 5 to 10 years in quantitative development in banking or buy side
  • Expert Python with strong SQL and exposure to C++ or Java nice to have
  • Experience supporting model validation and testing and benchmarking
  • Familiarity with SR 11 7 controls and model lifecycle and documentation expectations
  • Libraries and tools NumPy and Pandas and SciPy and scikit learn and PyTorch or TensorFlow as needed
  • CI and CD unit tests and regression suites and artifact versioning and containerization
  • Data engineering awareness for clean inputs and lineage
Responsibilities:
  • Implement robust pricing and risk analytics and backtesting utilities that validators can run repeatably
  • Optimize compute paths and serialize results for explainability and audit
  • Build harnesses for challenger and benchmark models and sensitivity and stability checks
  • Package and document code with clear assumptions and limitations and usage notes
  • Partner with model risk to answer RFIs with scripts and notebooks and evidence packs
Outcomes we track:
  • Reproducible runs for validation suites 100% with seed and environment lock
  • Test coverage 80% on shared libraries within 60 days
  • Benchmark and challenger comparisons produced within agreed SLAs 100%
Compensation and terms
  • Consultant pay $110 to $180 per hour
  • Contract Hybrid New York NY or Remote US W2 or 1099
How to apply:
  • Apply on our site FinTrust Careers
  • Or email talent@FinTrustConnect.com with subject [Apply] Model Risk Quant Developer New York

Follow FinTrust Connect on LinkedIn
Keywords
Model Risk, SR 11 7, Quant Developer, Python, NumPy, Pandas, SciPy, scikit learn, Backtesting, Benchmarking, Challenger Models, Pricing Library, Risk Analytics, CI CD, Unit Testing, Data Lineage, NYC

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