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
Skills Required
- Bachelor's degree in Finance, Economics, Statistics, Applied Mathematics, Computer Science, Data Science, Business Administration, Engineering, Actuarial Science, Information Systems, or Management Science
- 2 years of experience in credit risk analysis or a related occupation within consumer or small and medium enterprise lending
- 2 years of experience deploying SQL and Python
- 2 years of experience using Microsoft Office applications
- 2 years of experience performing root cause and statistical analysis related to credit defaults and risk exposures
- 2 years of experience building and maintaining data pipelines using SQL and Python for credit risk and fraud
- 2 years of experience using dbt for data modeling and transformation related to credit risk and fraud
- 2 years of experience working with APIs
- 2 years of experience designing and managing data reporting frameworks related to credit risk and fraud
- 2 years of experience creating underwriting and risk management strategies
- 2 years of experience evaluating the efficiency of risk management policies, procedures, and processes
- 2 years of experience partnering with cross-functional teams to execute credit policies and improve risk management infrastructure
What We Do
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