Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Please note: This position is M-F during standard business hours with a hybrid work model (4 days in-office, 1 day working from home). It is only available in the areas listed. Candidate must reside or be willing to relocate on their own to one of the listed areas. Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.
The Market Risk Analyst will support the Market Risk Analytics and Modeling team with interest rate risk processes, including capital stress testing, board reporting, and ad hoc analysis. Responsibilities include utilizing, monitoring, and enhancing the quantitative models employed by the risk analytics team.
This role requires a candidate who possesses both technical and financial skill sets. Specifically, the ability to develop and maintain code using database and scripting tools, alongside a deep understanding of financial institution balance sheets, fixed income instruments, and derivative contracts.
Key responsibilities will include, but not be limited to: Develop, manage, and maintain automated processes to support dynamic NIR and EVE balance sheet modeling. Define and maintain model inputs and assumptions for a variety of financial products. Liaise with business partners to understand investment strategies and product offerings to ensure they are modeled appropriately. Develop, manage, and maintain analytical and reporting processes for market risk modeling, including model results, valuation, benchmarking, and back-testing. Perform interest rate, prepayment, and counterparty risk analysis for fixed income securities and derivative contracts. Test changes and enhancements to modeling software and provide an analysis of the results.
What you have
Qualifications
The ideal candidate will possess the following:
Education: A Bachelor's degree in a financial, technical, or quantitative discipline; an MBA, CFA, or similar advanced certification is preferred.
Experience: 6 to 8 years of experience in fixed income analytics and modeling; experience with PolyPaths is preferred.
Technical Skills: Proficiency in Bloomberg, Python, SQL, R, Power BI, and Tableau is highly beneficial.
Core Competencies: A strong foundation in modeling and process development, complemented by programming proficiency.
Analytical Rigor: Strong quantitative and analytical abilities with meticulous attention to detail.
Project Management: The ability to independently manage tasks while simultaneously handling multiple assignments.
Communication: Strong written and verbal communication skills, with the ability to clearly convey complex financial and technical concepts.