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

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 ...

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 ...

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 ...

Bounce AI

Credit Portfolio Risk Analyst

Manhattan, NY · On-site

Partner with Data Science on estimated remaining collections (ERC) recalibration. * Diagnose return ... in credit risk, portfolio analytics, structured or specialty finance, acquisitions, investment ...

3B Staffing LLC

Credit Risk Analyst

Manhattan, NY · On-site

The Credit Risk Analyst /Python/ACL/Banking - Required Candidate Location: 100% Remote Contract ... data analysis and credit model execution. This is a Relatively junior person with 2-5 years of ...

3B Staffing LLC

Credit Risk Analyst

Manhattan, NY · On-site

The Credit Risk Analyst /Python/ACL/Banking - Required Candidate Location: 100% Remote Contract ... data analysis and credit model execution. This is a Relatively junior person with 2-5 years of ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in New York, NY

Credit Risk Data Science information

See New York, NY salary details

$40.5K

$124.6K

$216.1K

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

As of Sep 7, 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.

VP - Risk Technology

Vichara

New York, NY • On-site

Full-time

Re-posted 4 days ago

Job description

Company Description
Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world.
Job Description
The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues.
This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership.
Primary Responsibilities
  • Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions
  • Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
  • Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
  • Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings.
  • Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls.
  • Drive improvements in automation, data validation, transparency, and modernization of risk processes.

Qualifications
Required Qualifications and Experience
  • Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
  • Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
  • Python experience for data processing, analytics, and automation.
  • Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems.
  • Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows.
  • Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts.
  • Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams.
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

Preferred Qualifications and Experience
  • Experience with risk platforms, pricing engines, or market data systems.
  • Familiarity with structured credit or whole loan analytics.
  • Experience working with cloud platforms such as Azure or Snowflake.
  • Understanding of credit and market risk regulatory frameworks.
  • Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes.

Additional Information

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