Coast

Senior Credit Risk Analyst

Coast · New York, NY
New York, NY was $90K–$140K Closed
Applications are closed for this role. It was originally posted 2026-08-27. It’s no longer accepting applicants — see roles Coast is still hiring for →, or browse the live openings below.
Salary
$90K–$140K
Type
Full-time
Experience
2+ yr

K-Dimensional Holdings Inc. dba Coast

Job duties:

  • Analyze internal and external data—including credit bureau, financial, transactional, and application data

—to support and refine credit risk policies for underwriting, credit line adjustments, and account-level
decisioning.

  • Help create best-in-class credit policies and risk management infrastructure.
  • Design and manage data reporting frameworks related to credit risk and fraud by partnering with data

engineers and analytics teams.

  • Contribute to the automation and optimization of credit risk operations by building decision frameworks

and supporting risk modeling.

  • Conduct data-driven investigations into potential fraud incidents such as identity theft or account

takeovers.

  • Perform root cause analysis to improve predictive capabilities for credit defaults and risk exposures.
  • Collaborate cross-functionally with product, finance, legal, operations, sales, and marketing to develop

and implement credit-related strategies and policies.

  • May telecommute within a reasonable commuting distance from the New York office.

Education and Experience required: Bachelor’s degree in Finance, Economics, Statistics, Applied
Mathematics, Computer Science, Data Science, Business Administration, Engineering, Actuarial Science,
Information Systems, or Management Science and 2 years in credit risk analysis or related occupation
within consumer or small and medium enterprise (SME) lending.

Background: 2 years of experience in the following:
1. Deploying a SQL and Python;
2. MS office applications;
3. Root cause and statistical analysis related to credit defaults and risk exposures;
4. Building and maintaining data pipelines, utilizing SQL and Python, that includes data cleansing,
wrangling, visualization, modeling, and interpretation related to credit risk and fraud;
5. dbt for data modeling and transformation related to credit risk and fraud;
6. Working with APIs;
7. Designing and managing data reporting frameworks related to credit risk and fraud;
8. Create underwriting and risk management strategies;
9. Investigating and evaluating efficiency of risk management policies, procedures, and processes; and
10. Partner with cross-functional teams to execute credit policies, improve operational tooling, and shape
the risk management infrastructure.

Location: New York, NY (May telecommute within a reasonable commuting distance from the New York
office)

Rate of pay: $90,000 to $140,000 per year

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