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

FanDuel

Risk Data Science, Director

Jersey City, NJ

Drive risk data science strategy and execution * Develop and drive risk data science strategy across Sportsbook aligned to business and product goals (revenue, margin, customer outcomes, responsible ...

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

Optimize Partners

Director, Data Science

New York, NY · On-site

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

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

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Credit Risk Data Science information

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.

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 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

Credit Risk Management - Risk Analytics - Data and Reporting Team AVP

Bank of China Limited, New York Branch

Manhattan, NY • On-site

$65K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Introduction

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.

Overview

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

Responsibilities

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.
Qualifications
  • 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.).
Pay Range

Actual salary is commensurate with candidate's relevant years of experience, skillset, education and other qualifications.

USD $65,000.00 - USD $150,000.00 /Yr.Employment Type: FULL_TIME

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