Quantitative Risk Modeling Analyst II

San Antonio, TX - One Frost, United States

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Frost

From personal and business banking to investments and insurance, get everything you need from the Texas bank you know. Learn more about our financial products and services or open a bank account online with us today.

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Job Description

It’s about giving people a sense of security.

Do you enjoy researching and extracting insights from data? Would others describe you as being reliable and resourceful? Do you have a background in statistics, mathematics, or finance? If so, being a Quantitative Risk Modeling Analyst II with Frost could be for you.

At Frost, it’s about more than a job. It’s about having a flourishing career where you can thrive, both in and out of work. At Frost, we’re committed to fostering an environment that reflects our values and encourages team members to be the best they can be. In joining our adaptable, integrity-driven team, you’ll become part of Frost’s over 150-year legacy of providing unparalleled financial services.

Who you are:

As a Quantitative Risk Modeling Analyst II, you are our risk inspector. You’ll be responsible for applying data analytics to assist in drawing actionable insights into financial, transactional, demographic, and behavioral data. You will use your logical mind-set and organized approach to ensure work is appropriately documented and in compliance with State and Federal Laws and Regulations. You enjoy collaboration and look forward to collaborating with our compliance partners to identify ways to use data analytics.

What you’ll do:

  • Apply data analytics to assist in drawing actionable insights into complex business problems using financial, transactional, demographic and behavioral data

  • Pull, clean, and aggregate data from sources across the Bank

  • Ensure work is appropriately documented and in compliance with State and Federal Laws and Regulations

  • Participate in collaboration efforts with Risk Management Teams to identify ways to use data analytics

  • Maintain direct, ongoing communication with Risk Management Teams clients

  • Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes

What you’ll need:

  • Advanced (Ph.D. or Master’s) degree in quantitative analytics field such as mathematics, statistics, economics, or actuarial science

  • 3+ years of experience developing statistical or machine learning models

  • Mastery of statistics and numerical techniques

  • Experience gathering and documenting requirements

  • Experience writing model documentation

  • Experience presenting analytical results

  • Proficient in SQL

  • Proficient in SAS, R or Python

  • Proficiency in Microsoft computer applications (Excel, Word, Power Point)

  • Excellent written and verbal communication skills

Additional Preferred Skills:

  • Experience with developing models in the financial services industry

Our Benefits:

At Frost, we care about your health, your family, and your future and strive to have our benefits reflect that. This includes:  

  • Medical, dental, vision, long-term disability, and life insurance

  • 401(k) matching

  • Generous holiday and paid time off schedule

  • Tuition reimbursement

  • Extensive health and wellness programs, including our Employee Assistance Program

  • Referral bonus program + more!

Since 1868, Frost has dedicated their expertise to provide exceptional banking, investment, and insurance services to businesses and individuals throughout Texas. Frost is one of the 50 largest U.S. banks by asset size and is a leader in banking customer satisfaction. At Frost, it’s about being part of something bigger. If this sounds like you, we encourage you to apply and see what’s possible at Frost.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Banking Data Analytics Economics Excel Finance Machine Learning Mathematics ML models Python R SAS Security SQL Statistics

Perks/benefits: Career development Flex vacation Health care Insurance Salary bonus Wellness

Region: North America
Country: United States

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