BOK Financial Looking for Market Risk Analyst II at Tulsa, OK  Full Time

If you are looking for a job that combines a passion for opportunity for growth and a culture of teamwork, then you’ve come to the right place. We are hiring for a Market Risk Analyst II in our Tulsa market.

The Market Risk Analyst II role is responsible for aggregating, quantifying, monitoring, and reporting market and counterparty risk exposures against established limits across trading and investment portfolios that are primarily comprised of Mortgage-Backed Securities (MBS), Commercial MBS (CMBS), Fixed Income Derivatives, Commodities, and FX. The role is also responsible investigating, following-up with trading desks, and escalating with senior management breaches of market and counterparty risk limits as well as identifying and communicating large positions or concentrated risk exposures that exceed risk tolerances established by the Asset and Liability Committee (ALCO) and the Risk Committee of the Board.

We are a collaborative, conscientious, and goal-oriented team. We value initiative, and we care about the quality of our work. Managers across the line of business are readily available and accessible for any needs you may have. You are responsible for driving the process, and our leaders are there to support you. Mentorship within the team is a common practice that will provide opportunities for growth.

• You will perform timely and accurate independent measurement, monitoring, and reporting of market and counterparty risks vs. established limits at Company level, business level, and desk level on a daily, weekly, monthly, or as required basis.
• You will analyze, communicate, and escalate breaches of market and counterparty risk limits. Follow-up with trading desks and senior management on remediation plans and strategies to reduce exposures within their limits.
• You will communicate and escalate concentrated exposures, basis risks, unusual trading activity or other market or counterparty risks that could be outside Bank’s risk appetite and tolerance level.
• You will perform analysis to explain and attribute daily changes and trends over time of various risk metrics such as risk sensitivities (Duration, Convexity, Vega), Stress Scenarios, VaR, and Stressed VaR (SVaR).
• You will perform analysis and attribution of daily Clean P&L, Hypothetical (Model) P&L, and Risk Theoretical P&L (RTPL).
• You will calculate and report on market risk regulatory capital and Risk-Weighted Assets (RWA).
• You will recommend and design stress testing scenarios that are relevant to trading exposures, business activity, and market environment.
• You will ensure on-going integrity of the market risk framework through proactively identifying control weaknesses and recommending improvements to established processes and procedures.
• You will develop recommendations for changes to processes and systems that will mitigate risk, improve performance, and ensure the organization complies with all relevant regulations.
• You will perform special projects as assigned. To include but not limited to: Automation and standardization of daily valuation, stress testing, and reporting processes; Redesign and optimization of the risk infrastructure, data aggregation, and reporting; Design and development of new analytical and reporting tools to facilitate the risk management and monitoring process; Testing and integration of the U.S. Basel III regulatory capital framework; Enhancements of the counterparty risk management aggregation and reporting process

• Master’s degree in quantitative discipline (Mathematics, Statistics, Finance, or Engineering,).
• Bachelor’s Degree quantitative discipline
• Preferred CFA or FRM
• 3-5 years of experience in risk management, trading, valuation, or portfolio management of Securitized Products (Agency MBS, CMOs, CMBS, ABS, etc.).
• Deep understanding of global markets, risk management techniques and processes including risk sensitivities, VaR/SVaR, stress testing, stress scenario design, hedging, etc.
• 3-5 years of experience with data aggregation and manipulation, and reports design using relational databases (SQL).
• 2-3 years of experience with Python or R.
• Comprehensive knowledge and understanding of financial institution products and services, risk management standards and financial theory.