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

Nova Credit

Senior Data Scientist

New York, NY · On-site

$168K - $199K/yr

... of Data Science. RESPONSIBILITIES: * Research and develop credit risk predictive models based on cross-border consumer performance data or bank transaction data. * Research and develop bank ...

Vichara

VP - Risk Technology

New York, NY · On-site

Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related ...

Biz2Credit Inc

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Apply Early

Biz2Credit

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Vichara

VP - Risk Technology

New York, NY · On-site

Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related ...

Apply Early

Plaid Inc

Senior Data Scientist - Credit

New York, NY · On-site

$190K - $262K/yr

Qualifications * 4+ years of experience in a data science, credit risk, or analytical role within financial services or fintech. * Deep familiarity with SQL and Python. * Strong understanding of ...

Biz2Credit Inc

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Vichara

VP - Risk Technology

New York, NY · On-site

Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related ...

Biz2Credit Inc

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Intuit

Senior Credit Risk Analyst - Fintech

New York, NY · On-site

As a key analyst on the Credit Risk Management team for Intuit's business credit card product, this ... Partner with the Data Sciences team to develop and maintain models that predict multiple customer ...

Made Card

Credit Risk Manager

New York, NY · Remote

$100K - $110K/yr

By bringing together financial tools, data, and trusted professionals, we give people more control ... Science practice. What You'll Do * Underwriting & New Accounts: Define and optimize credit ...

Made Card

Credit Risk Manager

New York, NY · On-site

$100K - $110K/yr

By bringing together financial tools, data, and trusted professionals, we give people more control ... Science practice. What You'll Do * Underwriting & New Accounts: Define and optimize credit ...

Morgan Stanley

Risk Data Senior Associate

New York, NY · On-site

Risk Data is responsible for the development, management and promotion of data quality and data governance standards, and for monitoring the Risk Data Domains (e.g., Credit Risk, Market Risk and ...

Morgan Stanley

Risk Data Senior Associate

New York, NY · On-site

Risk Data is responsible for the development, management and promotion of data quality and data governance standards, and for monitoring the Risk Data Domains (e.g., Credit Risk, Market Risk and ...

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Credit Risk Data Science information

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 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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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.
What are popular job titles related to Credit Risk Data Science jobs in New York? For Credit Risk Data Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in New York look for? The top searched job categories for Credit Risk Data Science jobs in New York are:
What cities in New York are hiring for Credit Risk Data Science jobs? Cities in New York with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Senior Data Scientist

Senior Data Scientist

Nova Credit

New York, NY • On-site

$168K - $199K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago

Job description

WHO WE ARE
Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly by harnessing alternative credit data. The company leverages its unique data infrastructure, industry-leading analytics & FCRA-compliance to help lenders fill in the gaps that exist in traditional credit analytics. Nova Credit provides access to the fragmented universe of consumer financial data and transforms it into compliant, actionable risk analytics through a suite of solutions designed to increase conversion through expanded coverage, speed, and reliability. Nova Credit supports over 7,000 businesses including organizations such as HSBC, SoFi, Scotiabank, Appfolio, and Yardi, who work with Nova Credit to make smarter credit decisions through cash flow underwriting with Cash Atlas™, quickly and accurately verify income with Income Navigator, verify income and assets with Eligibility Compass, and reach new-to-country consumers with Credit Passport®. We were named in Forbes' Fintech 50 in 2025 and Built In's Best Places to Work, 2025.
Nova Credit offers a dynamic and inclusive work environment where you can meaningfully impact the lives of people historically excluded from the credit system. We value diversity, intellectual honesty, and innovation, and are committed to supporting our team members' professional growth and development. If you're passionate about leveraging technology to drive financial inclusion, we want to hear from you!
THE OPPORTUNITY
The Senior Data Scientist role will be part of the Data Science team at Nova Credit, where you will play a crucial role in researching, designing, and developing our global data science strategy. Applying your critical thinking and analytical skills to data, traditional statistical modeling, and modern machine learning techniques, you will serve as a conduit to bring key functions together, including: data partnerships, risk and analytics, product, engineering, and customer success, to develop and implement our core data systems. Working closely with our customer-facing teams, you will demonstrate the strength of our products and services through data analytics and insights. Ultimately, your role is to ensure that Nova Credit's products deliver high-quality predictive risk signals; every initiative you work on will be crucial to the company's success.
This is a full-time, NYC-based hybrid role (3 days per week in office on Mondays, Tuesdays, and Thursdays) reporting directly to the Head of Data Science.
RESPONSIBILITIES:
  • Research and develop credit risk predictive models based on cross-border consumer performance data or bank transaction data.
  • Research and develop bank transaction text classification models leveraging statistical models and/or large language models
  • Utilize bank transaction data to develop attributes for credit risk assessment, income verification, or other financial products.
  • Research and develop models for document processing and tampering identification.
  • Collaborate with our engineering organization to guide reliable deployments of data science products;
  • Perform continuous research into new data sources, variables, and modeling methodologies.
  • Develop and execute model monitoring solutions.

YOUR SKILLSET:
  • 4+ Years relevant experience in data science, quantitative modeling, or machine learning.
  • Relevant PhD or MS preferred (e.g., Data Science, Computer Science, Statistics, Applied Statistics, Operational Research)
  • Required - Fluency in generalized linear models & machine learning methods and tools; Preferred - Experience with hypothesis testing
  • Required - Fluency using Python and SQL; Preferred - Experience using PySpark and Pola.rs
  • Preferred - NLP and document fraud experience
  • Preferred - consumer credit risk knowledge
  • Above all, the ability to break down new and complex problems into fundamental and solvable components.
IC3: $140,000 - $166,250
IC4: $168,000 - $199,500
The Base Salary Range for U.S.-based candidates and is dependent on individual experience, skills, education, location, and qualifications. We consider all elements of compensation as a part of the value we provide to Novans. This may include: base salary, equity grants, incentive compensation for eligible roles, professional development, flexible PTO, and tenure rewards. We offer U.S.-based Novans competitive, employer-subsidized medical, dental, and vision plans, in addition to mental health and wellness benefits and a range of other benefits & perks.Everyone is welcome at Nova Credit. We are an equal opportunity employer where our diversity and inclusion are central pillars to our company strategy. We look for applicants who understand, embrace and thrive in a multicultural and increasingly globalized world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Before submitting your application, please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information during the application process.

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