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Posted: Saturday, March 11, 2017 10:38 PM

The Enterprise Risk Management (ERM) Quantitative Reporting Analyst develops and improves the risk analytics capabilities across ERM. This person coordinates with various ERM teams including Credit Risk, Treasury and Liquidity Risk, Operational Risk and Model Risk as well as with members of other departments and business lines in order to produce analytics that support risk assessments and decision making. Key Responsibilities include assisting the VP of ERM and the Reporting and Analytics Director in envisioning, designing, planning, building and deploying information and analytics solutions in ERM. This analyst is primarily responsible for understanding the BankA?s risk measurement framework and then producing quantitative support for establishing and calibrating thresholds/tolerance levels for risk metrics. In addition, this analyst supports other Risk Officers with risk quantification, analysis, and validation as needed. The ideal candidate has a broad skillset in areas such as statistics, math, computing, and quantitative modeling. Background or experience in risk management, finance, business analysis, or financial engineering is a plus, but not required as long as the candidate possesses a strong curiosity for and ability to quickly learn and assimilate new skills as needed. Candidates must have an attitude of getting things done and delivering results while keeping long terms goals and objectives in mind. To supplement these sophisticated analytical capabilities, a candidate needs to have solid business acumen and experience in synthesizing complex analysis into executive:friendly reporting. This position reports directly to the ERM Reporting and Analytics Director.Risk Metrics Analysis: Working across ERM with Risk Officers, Enterprise Data and Client Insights (EDCI) and Risk Liaisons and Risk Metric Owners (1st Line of Defense) the ERM Quantitative Reporting Analyst manages the suite of metrics and scorecards which are used to monitor and escalate risk information to Senior Management and the Board, including metrics in the BankA?s Risk Appetite Statement and Key Risk Indicator dashboards. Specific tasks include:Maintaining the inventory of Risk Appetite Statement Metrics and Key Risk Indicators and their change and evolution over timeWorking with metric owners and the BankA?s Enterprise Data team to keep metrics current, ensuring a robust rationale exists for all metrics and their threshold/tolerance levelsCalibrating risk metric limits and thresholds through statistical analysis of underlying data setsData Integrity: Work closely with BankA?s Enterprise Data team to ensure data integrity in the use of risk metrics and the supporting data.Data Analysis: Support the ERM Reporting and Analytics Director and Risk Officers in performing analysis on risk:specific situations, including researching causes of risk appetite or key risk indicator threshold/tolerance breachesAnalyze significant risks in the enterprise risk inventory and support Risk Officers with risk analysis and quantification through quantitative or scenario analysisProactively support the Enterprise Risk Management (ERM) Team: All members of the ERM team should work collaboratively to support the evolution of the program. Respond accurately and quickly to ad hoc analysis requests from CRO, Risk Officers, other firm executives and regulators. Contribute to special projects as needed or as assigned by the Reporting and Analytics Director.Key Skills, Knowledge, and Abilities:Candidate must have exceptional interpersonal and communication skills plus the ability to work independently and as a part of a team. Must be extremely detail oriented and able to manage multiple complex tasks concurrently. Discretion with confidential information is also necessary.Qualifications:A bachelorA?s degree in computer science, engineering, mathematics with a minor in economics, finance or a related field preferred; MBA or MS degree preferredBanking experience is a plus but a candi


• Location: San Francisco

• Post ID: 57287133 sf is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2017