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Credit Risk Data Science Jobs in New York, NY (NOW HIRING)

Ramp

Senior Applied Scientist, Credit Risk

Manhattan, NY · On-site

$120 - $160/hr

In this role, you will design, build, and optimize the models that power our credit risk systems ... Own the full applied science development lifecycle, from data exploration and feature development ...

Parker

Credit Analyst Manager

New York, NY · On-site

$180K - $205K/yr

If you're passionate about credit risk, data-driven decisioning, and enabling customers through smarter finance - this role is for you. What You'll Do: * Lead the credit analyst team for new and ...

Gauntlet

Credit Risk Researcher

New York, NY

You will own credit risk for one of the largest asset managers in onchain finance. Gauntlet serves ... data analysis, counterparty financials and legal structure, redlines, and final deal approval.

Brigit

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

Experience applying predictive modeling to credit risk assessment, churn prediction, loss and ... data science productivity, quality, and business impact. The anticipated annual base salary for ...

Gauntlet

Credit Risk Researcher

New York, NY · On-site +1

You will own credit risk for one of the largest asset managers in onchain finance. Gauntlet serves ... data analysis, counterparty financials and legal structure, redlines, and final deal approval.

Gauntlet

Credit Risk Analyst

Manhattan, NY · On-site

$160 - $195/hr

You will own credit risk for one of the largest asset managers in onchain finance. Gauntlet serves ... data analysis, counterparty financials and legal structure, redlines, and final deal approval.

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Credit Risk Data Science information

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$40.5K

$124.6K

$216.1K

How much do credit risk data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for credit risk data science in New York, NY is $124,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $153,700.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in New York, NY?

For Credit Risk Data Science jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Credit Risk Data Science jobs in New York, NY look for?

The top searched job categories for Credit Risk Data Science jobs in New York, NY are:

What cities near New York, NY are hiring for Credit Risk Data Science jobs?

Cities near New York, NY with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,590 per year, or $59.9 per hour.

First Line Credit Risk Analyst - Assistant Vice President

Morgan Stanley

Purchase, NY • On-site

$85K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

36th of 154 rated financial services

Job description

Morgan Stanley ("MS") is a global financial services firm that conducts its business through three principal business segments-Institutional Securities Group ("ISG"), Asset Management ("AM") and Wealth Management ("WM). WM includes almost 16,000 Financial Advisors and Private Wealth Advisors and offers comprehensive financial services to clients, such as brokerage, investment advisory, financial and wealth planning, annuities, insurance, retirement. In addition, the Private Banking Group ("PBG") offers WM clients cash management and lending solutions.
Job Summary
The PBG is building its first-line credit risk team to enhance credit risk oversight and activities across multiple-lending products. This role sits at the center of credit risk oversight, translating portfolio data into actionable insights and driving alignment across risk, business, and finance stakeholders. This is not a pure data science or model development role.
The candidate is expected to adapt and take on a variety of tasks but will be primarily focused on supporting ad-hoc reporting requests and helping to design and build automated reporting solutions. The role requires a minimum proficiency in data and reporting combined with a strong understanding of credit risk concepts applicable to private banking lending products such as Securities-based lending, Tailored Lending, Residential Mortgages, and Commercial Real Estate lending.
Success in this role is defined by the ability to use data and tooling to frame risk issues, guide decision-making, collaborate across multiple stakeholders, leverage firm-approved AI tools, and influence outcomes.
Job Description/Position Responsibilities
  • Gather, organize and transform complex data to deliver timely, accurate, and actionable insights and reports to support credit risk decision-making and strategic projects and initiatives.
  • Analyze and track portfolio metrics such as originations, limit monitoring, KRIs, loan quality, stressed credits, etc. by running data analytics across multiple databases to enable greater visibility of risk across the organization.
  • Support and help drive the oversight, coordination and management of stressed credit exposures across lending products and supporting and managing working group forums and risk committees.
  • Track progress on team initiatives, drive continuous improvement and efficiency, maintain documentation, drafting policies and procedures, mapping out processes, building decks and reports for senior management and regulators, etc.
  • Partner with stakeholders across multiple legal entities, businesses, financial and non-financial risk organizations, etc. to drive data-driven risk management initiatives.

Additional Experience and Skills
  • Minimum of 4 years of experience in financial services with emphasis on portfolio analytics and risk management.
  • BA in finance, economics, accounting, business, statistics or math; Advanced degrees / certifications are a plus.
  • Proficiency in data analysis and visualization tools (e.g., Python, SQL, Tableau, Power BI) to support insights / reporting.
  • Skill using firm-approved AI tools to enhance analysis and productivity within governance frameworks preferred.
  • Solid understanding and experience working with databases and snowflake is preferred.
  • Experience designing automated reporting pipelines utilizing Python or SQL is preferred.
  • Experience translating regulatory and underwriting standards into data-driven controls is a plus.
  • Excellent interpersonal and communication skills; detail-oriented and effective in fast-paced environments.
  • Experience presenting analysis or risk insights to non-technical stakeholders or senior management is strongly preferred.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $85,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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About Morgan Stanley

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Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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