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Data Scientist Risk Jobs in Dallas, TX (NOW HIRING)

Kemper

Data Scientist

Dallas, TX · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ...

PROLIM Global Corporation

Data Scientist

Dallas, TX · On-site

Data Scientist Remote Contract JD: Python Fast API Engineer (ML + Risk Modeling) "Strong hands-on experience with Python and Fast API (building production REST services). Experience serving or ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Develop cost estimation and risk/likelihood models using statistical and ML techniques. Text Data ... Core Data Science Engineering & MLOps * Work in Databricks for ETL, feature engineering, ML ...

Newrez

Senior Data Scientist

Coppell, TX · On-site

The Senior Data Scientist will lead the data science and AI roadmap, develop advanced machine ... Identify high-impact opportunities to optimize P&L, enhance efficiency, and manage risk effectively ...

Newrez LLC

Senior Data Scientist

Coppell, TX · On-site

The Senior Data Scientist leads the company's data science and AI roadmap using strong mortgage ... Identify high-impact opportunities to optimize P&L, enhance efficiency, and manage risk effectively ...

Newrez

Senior Data Scientist

Coppell, TX

The Senior Data Scientist leads the company's data science and AI roadmap using strong ... Identify high-impact opportunities to optimize P&L, enhance efficiency, and manage risk effectively ...

Lendistry

Data Scientist I

Dallas, TX · On-site

Additionally, the Data Scientist will help shape business strategy and product development ... This is an exciting role for someone to make a direct impact on risk, product and revenue strategy ...

Socket.dev

Senior Data Scientist

Frisco, TX · On-site

$128 - $180/hr

The Risk Data Science team is looking for a Senior Data Scientist to develop advanced machine learning and statistical models, guide measurement, strategy, and data-driven decision making to support ...

New

Vanguard

Data Scientist, Specialist

Dallas, TX

We are seeking a Senior AI/ML/Data Scientist / Applied AI Leader with deep expertise in Agentic AI ... You will work closely with product, risk, operations, and technology partners to embed AI directly ...

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All JobsData Scientist Risk JobsData Scientist Risk Jobs in Dallas, TX

Data Scientist Risk information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do data scientist risk jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data scientist risk in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

What types of projects or problems does a data scientist risk typically work on?

Data Scientist Risk professionals typically work on projects involving risk assessment, fraud detection, credit scoring, market risk analysis, and regulatory compliance. Their day-to-day responsibilities often include analyzing large datasets to identify patterns, building predictive models, and presenting insights to risk managers or executives to support risk mitigation strategies. You'll often collaborate with cross-functional teams including finance, IT, and compliance to develop innovative risk solutions and improve organizational decision-making. The work environment is dynamic and intellectually challenging, offering opportunities to continuously learn and make an impact in critical business areas.

What is a data scientist risk?

A Data Scientist Risk job involves using data analysis, machine learning, and statistical modeling to assess and mitigate financial, credit, or operational risks. These professionals work with large datasets to identify patterns, detect anomalies, and build predictive models that help organizations make informed decisions. They collaborate with risk management teams and stakeholders to develop strategies for minimizing potential losses while ensuring regulatory compliance. Strong analytical skills, proficiency in programming languages like Python or R, and knowledge of risk modeling techniques are essential for this role.

What are the key skills and qualifications needed to thrive as a data scientist risk?

To excel as a Data Scientist Risk, you need strong analytical skills, advanced knowledge of statistics, programming (typically in Python or R), and a relevant degree such as mathematics, finance, or data science. Familiarity with machine learning libraries, data visualization tools, and risk modeling software like SAS or SQL is commonly required, and certifications such as FRM or CFA are advantageous. Excellent problem-solving, critical thinking, and clear communication abilities are vital for interpreting complex data and presenting actionable insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting decision-making, and ensuring regulatory compliance in fast-paced business environments.

What are the most commonly searched types of Data Scientist Risk jobs in Dallas, TX? The most popular types of Data Scientist Risk jobs in Dallas, TX are:
What are popular job titles related to Data Scientist Risk jobs in Dallas, TX? For Data Scientist Risk jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Scientist Risk jobs in Dallas, TX look for? The top searched job categories for Data Scientist Risk jobs in Dallas, TX are:
Data Scientist Risk jobs near you
Infographic showing various Data Scientist Risk job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,417 per year, or $58.4 per hour.

Senior Data Scientist (Credit Risk)

Braviant Holdings

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

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
We are building and scaling a high-performance consumer lending platform and are looking for a Senior Data Scientist to drive credit decisioning across the loan lifecycle. This role sits at the intersection of credit strategy, fraud, and analytics, directly impacting approval strategy, loss performance, and portfolio profitability. You will build and deploy models that inform key decisions around who we approve, how we price risk, and how we manage portfolio performance. This is a hands-on, high-impact role suited for someone who is business-oriented, data-driven, and biased toward action, not just model development. You will partner closely with Credit, Fraud, Servicing, Product, and Engineering to translate data into clear, actionable decisions that improve approval quality, reduce early loss, and drive sustainable growth.
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

Required

  • 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
 
Preferred
  • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
  • Hands-on experience applying AI to credit risk management
Benefits & Perks

Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide:

  • 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
Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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