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Bank Of America Enterprise Financial Risk Analytics Sr Specialist United States, North Carolina, Charlotte 600508496
The candidate will be responsible for understanding how material liquidity and interest rate risks are measured and monitored; assessing the impact of relevant risks by leveraging estimation methods; Support EFR risk manager challenge of CFO activities; drive independent assessment via advanced data analysis and quantitative approach; support integration of risk management through scenario analysis and metrics development. The candidate will also support the development of tools to facilitate liquidity and interest rate scenario design and independent review of liquidity stress testing results. This role requires a desire to learn, propensity to challenge existing processes and creativity in developing innovative solutions. Success in this role also requires knowledge of current events and trends, curiosity in exploring how such trends impact BAC’s NII and liquidity profile, and synthesizing data and information to help stakeholders understand the earnings and liquidity implications.Responsibilities
• Develop research and analysis techniques for a forward-looking view of financial risks in coordination with the EFR managers, including participating in 2nd line risk assessments and working groups with Treasury (to understand financial risk drivers)
• Establish independent analytic capabilities to help address MRIA, MRA and auditing issues effectively
• Partner with Treasury to develop ad hoc management scenarios + sensitivity analysis of liquidity, interest rate, and capital risks; including developing sensitivity tools and monitoring
• Analyze underlying drivers of financial risks through both actual and modelled stress flows of liquidity, capital, and NII. Consider alternative or improved models/assumptions. Analysis to support the 2nd line financial risk metrics and analysis of 1st line financial risk models
Key Requirements
Minimum of 2-3 years of risk management, quantitative/qualitative modeling or other experience in the financial services industry
Proficiency with analysis of financial data and quantitative techniques (linear/logistic regressions, time series, machine learning, hypothetical testing, etc.)
Proficiency with programming (Python or R) and Excel
Data skills e.g. data analysis, data transformation techniques, drilldown ability, what-if/sensitivity analysis, database knowledge a plus, Ability to extract, analyze, and merge data from disparate systems
Strong analytical mindset and effective problem-solving skills
Attention to detail and ability to work with minimal supervision
Experience with data analytics and visualization tools (e.g., Tableau, Alteryx, MicroStrategy)
Strong personal drive, individual initiative, a sense of urgency, and responsiveness, with a desire to grow, learn, and take on increasing levels of responsibility
Core Competencies
Collaboration- Foster a positive work environment. Develops networks and builds alliances; collaborates across boundaries to build strategic relationships and achieve common goals.
Resilience- Deals effectively with pressure; remains optimistic and persistent, even under adversity. Recovers quickly from setbacks. On occasion required to take an unpopular stand
Interpersonal Skills- Treats others with courtesy, sensitivity, and respect. Considers and responds appropriately to the needs and feelings of different people in different situations and locations.
Leveraging Diversity- Fosters an inclusive workplace where diversity and individual differences are valued and leveraged to achieve the vision and mission of the organization. Exposure and involvement with Employee Engagement initiatives including supporting Diversity & Inclusion efforts
Critical Success Measures and Skills the Candidate Will Develop
Deliver against the book of work for Enterprise Financial Risk
Contribute to appropriate monitoring and analysis that allow us to support high quality risk insights
Connection to and execution of responsibilities of the independent risk function
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