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    Senior Credit Risk Analyst

    Coast
    New York, NY

    Opens on the employer's site. Full compensation and requirement details are on the official posting.

    This listing is posted on SupplyWolf as part of our supply chain talent network. Apply directly on the employer's site — your information goes straight to them.

    About this role

    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