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

Optimize Partners

Director, Data Science

New York, NY · Hybrid

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

Intuit

Senior Staff Credit Risk Analyst

New York, NY · On-site

Develop & Enhance the credit Policy and program and establish a framework to ensure lending ... data engineering, compliance, risk , data scientists etc.) to enable decision support and key ...

IDBNY

Credit Risk Analytics & Modeling

Manhattan, NY · On-site

Risk Management / Credit Risk Management Location: New York, NY (Hybrid - 3 days in office ... Bachelor's degree in Finance, Economics, Statistics, Mathematics, Data Science, or another ...

Vichara

VP - Risk Technology

New York, NY

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 ...

American Express

Directors, Data Science

Manhattan, NY · On-site

$169K - $215K/yr

American Express Company seeks Directors, Data Science to drive the strategic analysis of credit ... Experience must include 2 years of experience with each of the following: credit risk data from ...

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 ...

Biz2Credit Inc

Director of Credit Risk

Manhattan, NY

$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 ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Hempstead, NY

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 Jul 27, 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.

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

Credit Risk Management - Risk Analytics Data and Reporting Team AVP

Bank of China Limited, New York Branch

Manhattan, NY

$65K - $150K/yr

Full-time

Posted 9 days ago

Job description

Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and regions. Our long-term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business.


The position will conduct varies of credit risk management risk data related duties. The position focuses on the data analytics and risk reporting. 


Credit Risk Data Control and Analysis

  • Assist to develop automated solutions to support business processes and report procedures.
  • Build up applications or scripts for implementing automation functionalities.
  • Database design for information storage purposes in both relationship and non-relationship infrastructures.
  • Workflow and data pipeline design and development for meeting risk related reporting requirements.
  • Develop data visualizations and dashboards to support the business intelligence progress.
  • Communicate with appropriate stakeholders to ensure the data quality problems are identified, documented, and mitigated.
  • Support process improvement, including workflow design, documentation, data security control, and identifying efficiency opportunities.
  • Collaborate with credit officers, credit administration, data governance, IT, and business unit representatives to provide data analysis and governance ensure new and emerging data required for portfolio analysis is on-boarded into credit risk systems.
  • Drive the automation of report and dashboard generation in a manner that drives consistency, accuracy and repeatability in credit risk reporting.

Credit Risk Reporting:

  • Periodic reporting on the loan portfolio. This includes report generation in a wide variety of formats including but not limited to Clicksense dashboards, Microsoft Excel report, PowerPoint presentations on a periodic as well as ad-hoc basis.
  • Prepare portfolio report and analysis including but not limited to Key Risk Indicators, exposure, credit rating, concentration and exception management.
  • Integrate and utilize data from a variety of sources in an efficient and accurate manner to drive excellence in risk reporting.
  • Utilize knowledge of -risk concepts to identify inconsistencies in the reports they generate.

Credit Risk Data Support:

  • Assist risk management in the design and implementation of risk reporting across a variety of media.
  • Supply data to support the credit risk management, including but not limited to asset quality, change of portfolio composition, concentration, rating migration and changes of loan provisions.

  • Bachelor's degree in Computer Science /Statistics/Mathematics/Economics required, MBA and Master's preferred.
  • Minimum 4 years of working experience in credit risk management, data analysis, and software development required.
  • Experience in at least one supportive programing language (Python, JavaScript, TypeScript, HTML, CSS, VBA and etc.) required.
  • Demonstrate proficiency in at least one core programing language (JAVA, C, C++).
  • Demonstrate proficiency in one SQL language (MSSQL, MYSQL, SQLITE, and etc.).

USD $65,000.00 - USD $150,000.00 /Yr.

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