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Credit Risk Data Science Jobs in Kentucky (NOW HIRING)

... in credit quality, risk evaluation, and portfolio integrity, ensuring that growth is achieved ... Critically review appraisals, assumptions, and comparable sales data. Evaluate neighborhood-level ...

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Credit Risk Data Science information

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 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.
What are popular job titles related to Credit Risk Data Science jobs in Kentucky? For Credit Risk Data Science jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Kentucky look for? The top searched job categories for Credit Risk Data Science jobs in Kentucky are:
What cities in Kentucky are hiring for Credit Risk Data Science jobs? Cities in Kentucky with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in Kentucky as of July 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Credit & Risk Analyst

HR Power 10

Louisville, KY โ€ข On-site

Other

Re-posted 23 days ago


Job description

Job Description Risk Analyst (Fix & Flip Real Estate) Position Overview MM Lending is seeking a highly analytical and detail-oriented Risk Analyst (Fix & Flip Real Estate) to lead and strengthen the company's underwriting and portfolio risk management functions. This role is designed for someone who thrives in structured environments, applies disciplined decision-making, and relies on data, evidence, and process to guide conclusions. As the company continues to scale its residential fix-and-flip lending platform, this individual will serve as a central authority in credit quality, risk evaluation, and portfolio integrity, ensuring that growth is achieved through controlled, methodical, and well-documented underwriting practices.

This is a hands-on, analytical role requiring independent judgment across borrower capability, renovation feasibility, collateral valuation, and market risk dynamics. Key Responsibilities Borrower Credit & Experience Analysis Lead all borrower pre-approval underwriting with a structured, evidence-based approach. Evaluate historical flip projects for: Renovation quality and execution consistency Timeline adherence and budget discipline Pricing strategy alignment with market conditions Verify borrower ownership, operational involvement, and decision-making authority.

Conduct detailed financial reviews including liquidity, creditworthiness, and leverage. Produce clear, written risk assessments with defensible conclusions. Apply and enforce consistent qualification standards and experience tiers.

Collateral & Rehabilitation Risk Evaluation Analyze Scope of Work and budgets for feasibility, completeness, and alignment with ARV assumptions. Evaluate structural complexity, including: Foundation work, additions, layout modifications Mechanical systems, environmental considerations, permitting risks Assess alignment between borrower capability and project difficulty. Critically review appraisals, assumptions, and comparable sales data.

Evaluate neighborhood-level risk including liquidity, absorption rates, and market stability. Approve loans within delegated authority using consistent underwriting frameworks. Identify, document, and escalate exceptions with supporting rationale.

Exposure Management & Risk Controls Monitor borrower-level exposure, concentration risk, and project stacking. Apply structured limits tied to borrower performance and capacity. Evaluate borrowers at scaling stages before approving additional exposure.

Enforce liquidity-to-exposure alignment standards. Recommend restrictions or reductions in approvals based on deteriorating risk indicators. DSCR Loan Oversight & Compliance Ensure complete, accurate, and compliant loan files aligned with investor guidelines.

Validate documentation integrity, reserve calculations, and eligibility criteria. Maintain strict adherence to sellability and repurchase risk standards. Identify inconsistencies and proactively resolve file deficiencies.

Portfolio Risk Management & Reporting Participate in and progressively lead monthly portfolio risk reviews. Monitor loan performance using structured grading systems (1-5 scale). Maintain and manage a watchlist of underperforming or elevated-risk assets.

Track borrower concentration and systemic risk trends. Deliver clear, data-driven quarterly risk reports to executive leadership. This role is ideal for individuals who: Are highly detail-oriented, methodical, and analytical Prefer structured environments, defined processes, and clear standards Make decisions based on data, evidence, and logic-not emotion Are risk-aware and naturally cautious, prioritizing accuracy over speed Thrive in independent roles requiring deep focus and technical expertise Communicate in a clear, precise, and factual manner Are comfortable challenging assumptions and declining marginal opportunities Qualifications Required 5-10 years of experience in: Private lending Real estate investing Construction or renovation lending Or similar risk-focused real estate environments Strong understanding of: Residential renovation processes and risks Collateral valuation and underwriting fundamentals Demonstrated ability to analyze complex scenarios and produce written risk assessments High level of independent judgment and decision-making discipline Strong organizational and documentation skills Preferred Direct experience in fix-and-flip or value-add real estate lending Exposure to renovation budgeting and project execution Experience operating in entrepreneurial or non-institutional lending environments Familiarity with loan grading systems and portfolio risk frameworks Organizational Structure Reports directly to the President No direct reports initially Positioned as a credit leadership track role Delegated approval authority will expand based on performance and demonstrated judgment Why This Role This is an opportunity to build and refine a disciplined credit function within a growing lending platform, where your analytical rigor and risk judgment will directly shape portfolio performance and long-term company success.