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Coast

Senior Credit Risk Analyst

Reposted 2 Hours Ago
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In-Office
New York, NY, USA
90K-140K Annually
Senior level
In-Office
New York, NY, USA
90K-140K Annually
Senior level
Analyze credit bureau, financial, transactional, and application data to refine underwriting, credit line, fraud, and account decisioning policies. Build reporting frameworks, data pipelines, decision frameworks, and risk models using SQL and Python. Investigate fraud, perform root cause analysis on defaults and risk exposures, optimize risk operations, and collaborate with product, finance, legal, operations, sales, and marketing teams.
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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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