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

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

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 ...

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 ...

Credit Risk Manager

New York, NY · Remote

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

Credit Risk Manager

New York, NY · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

... data scientists, developers, engineers and designers. About The Job The candidate will conduct ... Perform independent, objective and timely assessment of credit risk ratings and credit risk ...

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

Showing results 21-40

Credit Risk Data Science information

See Hempstead, NY salary details

$38.5K

$118.4K

$205.4K

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

As of Aug 16, 2026, the average yearly pay for credit risk data science in Hempstead, NY is $118,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $146,100.00 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 Hempstead, NY?

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

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

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

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

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

$160K - $190K/yr

Full-time

Re-posted 25 days ago


Job description

Description


About US


At Biz2Credit, we look for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward.


As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible.


But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work.


So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. 


About the Role


In this leadership role reporting directly to the Chief Risk Officer, you will oversee a team of high-performing Risk and Data Science Analysts, both onshore and offshore, to develop and implement credit risk models and AI-driven underwriting and credit decision processes, optimize strategies related to risk management, pricing, and business growth, and shape and enhance lending products and processes to ensure they are grounded in robust risk management principles, driving both innovation and stability.


Responsibilities


Credit Decisioning Model Development

  • Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio management.
  • Automation of Customer Journey, Underwriting, and Credit Risk Framework.
  • Collaborate with technology, data engineering, and product teams to continuously optimize workflows.

Risk Strategy Development

  • Design, execute, and monitor risk strategies across credit underwriting, credit limit assessments, pricing, and collections.

Team Leadership & Development

  • Mentor and develop junior team members, fostering a high-performing credit risk team.

Research and Publications

  • Contribute to in-house research by publishing articles and whitepapers on topics related to small business, AI, and macroeconomics.

Requirements

  • Hands-on expertise in developing and implementing machine learning-based statistical models. 
  • 10+ years of experience in banking or Fintech, specializing in Modeling for underwriting, fraud detection, risk management, or collections for either consumer or small business. Hands on Experience in Statistical Models such as Logistics regression, XGBoost, Decision trees, or other ensembles. 
  • Proven track record in risk management within the fintech or financial services industry.
  • Strong understanding of fintech products, lending solutions, Embedded finance and industry regulations.
  • Exceptional analytical and problem-solving skills with the ability to evaluate complex scenarios and drive data-driven decisions.
  • 5+ years of experience in managing a high-performing risk management team.
  • Advanced analytical and data science skills to support decision-making and risk strategy optimization.
  • Exposure to LLM/Generative AI/Agentic AI is preferred


Salary Range


$160k-$190k