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Machine learning and Modeling scientist - Quantitative Risk Analyst Senior (Hybrid)

Company: USAA
Location: Rock Hill
Posted on: August 6, 2022

Job Description:

Job Description The Machine learning and Modeling scientist is responsible for developing credit risk loss reserving, loss forecasting, and stress-testing models. This person will be responsible for reviewing and documenting models across the organization. This person will need to know and understand multiple modeling techniques and have an ability to communicate effectively at all levels. The Machine learning and Modeling scientist should have a a background in data science, finance, economics, or statistics. Provides risk management support for a line of business or staff agency in key risk identification, measurement and aggregation, and the understanding and management of risk through appropriate quantitative and analytical practices and processes. Conducts and develops quantitative and analytic models, assessments and/or applications in support of risk management efforts that assess the market and identify risks and gaps in existing or proposed processes. Monitors the risk and control environment to ensure that exposures are kept at acceptable levels and may consult on risk mitigation plans This position is available in our San Antonio TX, Plano TX, Charlotte NC, Tampa FL, Colorado Springs CO, and Phoenix AZ hub locations Job Requirements About USAA USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. Primary Responsibilities: Utilizes advanced analytics to assess future risk, opportunities, and effectiveness and translates results into meaningful solutions to enhance decision making. Applies advanced knowledge and industry best practices to quantify risk and aggregate exposures. Engages in model validation and produces model validation reports. Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and drive change. Translates recommendations into communication materials to effectively present to colleagues for peer review and management. Applies advanced knowledge to produce advanced analytical material for discussions with cross functional teams to understand complex business objectives and influence solution strategies. Provides mentorship to other team members in the peer review process. Minimum Requirements: Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline or 4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 6 years related quantitative analysis experience in a discipline relevant to risk management to include statistical analysis, modeling, mathematics or other quantitative discipline OR advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline and 4 years work experience in a quantitative discipline relevant to risk management; OR PhD in Economics, Finance, Statistics, Mathematics, or other quantitative discipline and up to 2 years work experience in a quantitative discipline relevant to risk management Knowledge of federal regulation 12 CFR Part 30, including Appendices A and D and with federal supervisory guidance, to include: OCC Documents: Large Bank Supervision Handbook; OCC Safety and Soundness Handbooks - Internal Controls, Corporate & Risk Governance, Retail Lending; and key OCC bulletins - Model Risk Governance, Model Risk Management, New Products and Services Risk Management, Third Party Risk Management, Technology Risk Management, Stress Testing, and Operational Risk Federal Reserve Documents: Consolidated Supervision Framework for Large Financial Institutions; Federal Reserve Board Bank Holding Company Supervision Manual FFIEC Manuals and Handbooks to include: Banking General understanding of federal laws, rules, and regulations, to include: CRA; ECOA; FCRA; MLA; SCRA; Regulation DD; Regulation E; Regulation Z; BSA/AML; and UDAP/UDAAP Laws and Regulations for illustrative purposes. Roles would need an understanding of all federal and state laws and regulatory guidance applicable to the organization and responsibilities of the role. Preferred Experience: Experience with model risk management or direct modeling Expertise in model risk forecasting, loss forecasting, and stress-testing models Strong understanding of machine learning methodologies desirable Have a strong understanding the following tools: SAS, Python, R, or PY Spark Experience with model documentation and model governance Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200.00 - $158,900.00 (this does not include geographic differential it may be applied based on your work location) Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors. Geographical Differential : Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average. Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. Please click on the link below for more details. USAA Total Rewards Relocation assistance is not available for this position.

Keywords: USAA, Rock Hill , Machine learning and Modeling scientist - Quantitative Risk Analyst Senior (Hybrid), Accounting, Auditing , Rock Hill, South Carolina

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