Title: Senior Data Scientist
Function: Credit Risk
Reports to: Head of Credit
Level: Mid-Level / Senior
Location: Addison, TX (5 days/week in-office)
Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time.
Who We Are
Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime®, helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work.
We are a lean team of approximately 40 people. Everyone rolls up their sleeves here, including this role.
About the Role
What You'll Be Doing
- Develop and deploy predictive models across the credit lifecycle (acquisition, risk, and collections) with a focus on improving approval quality and loss performance.
- Translate model outputs and analysis into actionable credit strategy, including approval cutoffs, segmentation, and decision rules.
- Analyze portfolio performance (FPD, delinquency, loss) to identify key drivers of deterioration and recommend targeted actions.
- Evaluate tradeoffs between approval rate, loss, and profitability, and recommend strategies to optimize portfolio performance.
- Distinguish fraud risk vs credit risk, improving early default performance and reducing losses.
- Design and execute experiments (A/B tests, champion/challenger frameworks) to evaluate strategies and drive continuous improvement.
- Work with Product and Engineering to implement decisioning logic into production systems and ensure accurate execution.
- Monitor model and strategy performance over time, identifying drift, instability, or unintended impacts on portfolio outcomes.
- Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite.
What You Will Bring
- Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
- 5-7 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space.
- Advanced proficiency in Python for programming, data analysis, and predictive modeling
- Proficiency in SQL, Excel and experience with data visualization tools
- Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models
- Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping
- Passion for keeping your skills up to date and exploring new methodologies
- The ability to distill complex problems and analysis into a clear and concise narrative
- Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
- Hands-on experience applying AI to credit risk management
Required
Benefits &Perks
- Comprehensive healthcare including medical, dental, and vision coverage
- Generous paid time off, including PTO, sick time, and 13 company holidays
- 401(k) with company contribution
- Participation in annual discretionary bonus plan
- Regular team and company gatherings
Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide:
Skills Required
- Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
- 5-7 years of professional experience in Data Science or Analytics
- Advanced proficiency in Python for programming and data analysis
- Proficiency in SQL and Excel
- Experience with data visualization tools
- Excellent knowledge of applied statistical methods and predictive machine learning techniques
- Knowledge of optimization, experimental design, and A/B testing
- Passion for exploring new methodologies
- Ability to distill complex problems into clear narratives
Braviant Holdings Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Braviant Holdings and has not been reviewed or approved by Braviant Holdings.
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Leave & Time Off Breadth — Recharge Fridays, generous PTO, flexible schedules, and a paid sabbatical after five years are highlighted, expanding time-away options. These programs broaden rest and recovery opportunities beyond standard vacation.
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Retirement Support — An automatic employer 401(k) contribution with immediate vesting is advertised, providing baseline retirement value without requiring an employee match. This structure can enhance total compensation predictability.
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Wellbeing & Lifestyle Benefits — Company-paid disability coverage, an EAP with Calm access, remote-first flexibility, and culture events indicate attention to wellbeing and day-to-day quality of work. Such perks complement cash pay with practical lifestyle support.
Braviant Holdings Insights
What We Do
Braviant Holdings is a digital lending platform that combines breakthrough technology and cutting-edge machine learning to empower consumers with better credit solutions. This next-generation approach to lending is reducing credit barriers and creating a Path to Prime to help millions of underbanked consumers.
Why Work With Us
We’re about making a meaningful and lasting impact on the world. We come to work each day ready to embrace our wide range of backgrounds and build on each another’s ideas as we join forces to create the next-generation lending products our customers deserve!
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