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Quantitative Risk Analyst I - MId Level (Machine Learning/Model Risk Management)

Company: USAA
Location: Gilbert
Posted on: September 2, 2020

Job Description:

Purpose of Job We are seeking a talented Quantitative Risk Analyst I – Mid Level (Machine Learning/Model Risk Management) for our Phoenix, AZ facility.

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. 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.

In each of the past five years, we've been a top-40 Fortune 100 Best Companies to Work For®, and we've ranked among Victory Media's Top 10 Military Friendly® Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply.

USAA Careers - Award Winning Workplace (17 seconds)

USAA Careers – World Class Benefits (31 seconds)

PRIMARY RESPONSIBILITIES

Utilizes advanced analytics to assess future risk, opportunities, and effectiveness and translates results into meaningful solutions to enhance decision making.

Assesses and mitigates exposures through the identification of key and emerging risks in alignment with the risk strategy and appetite.

Applies knowledge to produce analytical material for discussions with cross functional teams to understand complex business objectives and influence solution strategies.

Produces and communicates analytical content for discussions with cross functional teams, governance committees and business process owners to influence business strategies.

May create statistical reporting and financial analysis to forecast results for required stress test scenarios, including analyzing and challenging stress testing results and partnering with relevant functions to validate those results.

May engage in model validations, produce model validation reports, measure and aggregate model risks, and/or report on model issues to committees, auditors, and regulators.

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.

A minimum of 4+ years (8 years if no degree) related quantitative analysis experience in a discipline relevant to risk management to include statistical analysis, modeling, mathematics or other quantitative discipline; OR an advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline and 2 years of work experience in a quantitative discipline relevant to risk management; OR a PhD in Economics, Finance, Statistics, Mathematics, or other quantitative discipline

*Qualifications may warrant placement in a different job level*

When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not able to change your responses.

PREFERRED EXPERIENCE

Experience with programming languages including R and Python.

Understanding of machine learning and artificial intelligence algorithms' theoretical background.

Ability to work with large amounts of data.

Strong written and verbal communication skills.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

At USAA our employees enjoy one of the best benefits packages in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs.  Additionally, our career path planning and continuing education will assist you with your professional goals.

Relocation assistance is not available for this position.

For Internal Candidates:

Must complete 12 months in current position (from date of hire or date of placement) or must have manager’s approval prior to posting.

Last day for internal candidates to apply to the opening is 8/11/20 by 11:59 pm CST time .

Keywords: USAA, Gilbert , Quantitative Risk Analyst I - MId Level (Machine Learning/Model Risk Management), Other , Gilbert, Arizona

Click here to apply!

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