Senior Credit Risk Analyst

Overview

Analyze credit risk, monitor portfolios, create reports, and support lending decisions.

Key Responsibilities

• data analysis
• report generation
• predictive analytics
• risk modeling
• automation tools
• credit monitoring

Tasks

-Ensure all processes, reporting, and automation initiatives adhere to regulatory requirements, internal policies, and industry best practices. -Monitor existing credit portfolios, identifying trends and potential risks. -Leverage advanced SQL, SAS and Python skills for data manipulation, processing and analysis to support credit decisions. -Design and generate detailed reports summarizing credit findings and provide actionable insights for lending teams and stakeholders. -Stay updated on industry trends, credit lending, and changes in credit bureau reporting standards. -Analyze credit and consumer data and evaluate the creditworthiness of individuals or businesses. -Collaborate with lending teams to provide insights and support decision-making processes. -Utilize credit bureau data (e.g. Experian, Equifax, TransUnion) to assess risk profiles, generate predictive analytics and tools such as statistical models for use in evaluating risk. -Collaborate with IT and data teams to leverage automation tools for credit risk monitoring, reporting, and analytics, ensuring processes remain efficient and scalable.

Requirements

• sql
• python
• excel
• tableau
• credit scoring
• risk assessment

What You Bring

-Excellent attention to detail and problem-solving abilities. -Proficient in Microsoft Excel; experience with data visualization tools (e.g. Tableau) is a plus. -Demonstrated expertise in designing and generating reports for portfolio and credit analysis. -Strong communication skills, both written and verbal, to present findings clearly to stakeholders. -Ability to work independently and manage multiple priorities in a fast-paced environment. -Bachelor's degree in finance, Economics, Statistics, Mathematics or a related field, with a minimum of 8 years of professional work experience including 3+ years of experience in credit lending models or in a similar role working with credit data and credit bureau data. -Familiarity with credit scoring models and risk assessment tools. -Knowledge of regulatory requirements (e.g., FCRA, ECOA) related to credit underwriting is preferred. -Experience with automated credit decisioning systems. -Master’s degree in Statistics, Mathematics, Economics or a related field. -Solar Industry experience (Renewable). -Understanding of lending products, including personal loans, mortgages, or commercial credit. -Strong analytical skills with the ability to interpret complex credit and financial data and model outputs. -Deep expertise in credit risk management principles, including and understanding of credit scoring, loan structuring, and risk mitigation strategies. -Proficiency in interpreting credit reports from major credit bureaus (Experian, Equifax, TransUnion). -Advanced proficiency in SQL, SAS or Python for data manipulation, processing and analysis.

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Benefits

-This target salary range is for CA positions only and should not be interpreted as an offer of compensation.

About Qcells North America

-Pioneers solar and storage innovation from U.S. factories, born in South Korea and on a mission in North America. -Projects range from utility-scale EPC builds to residential panel installations and energy-storage systems. -As a leader in solar tech, it pilots cutting-edge manufacturing techniques to reduce costs and improve efficiency. -Blends global R&D roots in Germany and Korea with bold U.S. industrial expansion and market leadership.

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