Machine learning and Modeling scientist - Quantitative Risk Analyst Senior (Hybrid)
Company: USAA
Location: Plano
Posted on: August 4, 2022
Job Description:
Purpose of JobThe 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
locationsJob RequirementsAbout USAAUSAA 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
governanceCompensation: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.Relocation assistance is
not available for this position.
Keywords: USAA, Plano , Machine learning and Modeling scientist - Quantitative Risk Analyst Senior (Hybrid), Professions , Plano, Texas
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