What you need to know about the role-The Sr Credit Strategy Analyst in Global Commercial Lending Credit Risk will be responsible for developing and implementing data-driven strategies using machine learning tools to assess and mitigate risks associated with new accounts and applications.You will support and participate in multiple high-impact strategic initiatives pertaining to credit risk management and strategy.
Your way to impact- You believe in data-driven decisions and use data to create risk management strategies and answer business questions
- You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/Bexperimentation)
- You are a highly motivated, result-oriented, enjoy working in a fast-paced environment, and can deliver successful results with requiredguidance
Your day to day- Collaborate with Commercial, Product, Marketing and Technology teams to assess credit risk for new product launches
- Develop, refine, and implement credit risk strategies using advanced analytics and machine learning techniques
- Take ownership of key performance indicators (KPIs) and metrics related to credit risk for new accounts and applications.
- Lead end-to-end project execution with minimal assistance as a credit risk expert.
- Monitor credit quality of commercial loan portfolio and optimize profit-based risk management decisions at all stages of the customer credit lifecycle.
- Engage with Product, Marketing, Platform, and various other teams to determine performance trends and root causes.
- Effectively communicate complex findings and strategy recommendations to both technical and non-technical audiences
- Translate ambiguous, unstructured business problems into actionable data-driven analyses
- Support multiple projects at the same time in a fast-paced, results-oriented environment
- Keep up-to-date with industry trends, best practices, and emerging risks related to commercial lending.
What do you need to bring-- Prior experience in commercial lending, credit risk management, or a related field.
- Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline.
- 4+ years post-college working experience within the data-mining, quantitative research or analytics organization. Credit Risk experience is a must.
- Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
- Knowledge of credit risk concepts, lending processes, and regulatory requirements.
- Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis.
- Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis.
- Must have good business judgment with demonstrated ability to think creatively and strategically.
- Aptitude and willingness to roll-up the sleeves and get involved in the details.
- Proficiency in Python, R and SQL.
- Excel, Word, and PowerPoint proficiency
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is
$72700 to $176000
Our Benefits:
Any general requests for consideration of your skills, please