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Remote Director Credit Risk Management Jobs in Texas

McKesson

Senior Credit Underwriting Analyst

Irving, TX · Remote

The Senior Underwriting Analyst is responsible for independently managing a portfolio of complex customer relationships and delivering comprehensive, well-supported credit risk assessments. This role ...

McKesson

Senior Credit Underwriting Analyst

Irving, TX · Remote

The Senior Underwriting Analyst is responsible for independently managing a portfolio of complex customer relationships and delivering comprehensive, well-supported credit risk assessments. This role ...

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site +1

Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior Location: Addison, TX (5 days/week ... Hands-on experience applying AI to fraud management Benefits & Perks Compensation at Braviant is ...

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All JobsCredit Risk Management JobsRemote Director Credit Risk Management JobsRemote Director Credit Risk Management Jobs in Texas

Remote Director Credit Risk Management information

What is the difference between Remote Director Credit Risk Management vs Remote Credit Risk Analyst?

AspectRemote Director Credit Risk ManagementRemote Credit Risk Analyst
CredentialsTypically requires advanced degrees (e.g., MBA, Finance) and extensive experience in credit riskUsually requires a bachelor's degree in finance, economics, or related field; certifications like CFA are common
Work EnvironmentStrategic leadership, overseeing teams, policy development, high-level decision makingData analysis, risk assessment, reporting, supporting senior management
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending companies, financial services firms

The main difference is that the Remote Director Credit Risk Management focuses on strategic leadership and policy oversight, while the Remote Credit Risk Analyst handles data analysis and risk assessment tasks. Both roles are essential in credit risk management but differ in scope, responsibilities, and experience requirements.

What is a Remote Director of Credit Risk Management?

A Remote Director of Credit Risk Management is a senior professional responsible for overseeing and guiding an organization’s credit risk policies and procedures while working from a remote location. Their main duties include analyzing credit data, setting risk limits, developing risk mitigation strategies, and ensuring compliance with regulations. They collaborate with other departments, provide leadership to credit risk teams, and use advanced analytics to assess and manage credit exposures. This role is vital for maintaining the financial health and stability of a company, particularly in industries like banking and financial services.

What are some common challenges faced by a Remote Director of Credit Risk Management, and how can they be addressed?

A major challenge for a Remote Director of Credit Risk Management is ensuring effective oversight and communication across geographically dispersed teams and stakeholders. Building reliable processes for remote data analysis, risk assessment, and policy enforcement is key. Leveraging collaborative digital tools, maintaining regular virtual meetings, and establishing clear reporting protocols help address these challenges. Additionally, staying updated on emerging risks and regulatory changes requires proactive coordination with cross-functional teams and ongoing professional development.

What are the key skills and qualifications needed to thrive as a Remote Director of Credit Risk Management, and why are they important?

To thrive as a Remote Director of Credit Risk Management, you need deep expertise in credit risk analysis, portfolio management, regulatory compliance, and a relevant degree such as finance or economics, often supported by significant experience in risk leadership roles. Familiarity with credit risk modeling tools, data analytics platforms like SAS or SQL, and knowledge of regulatory frameworks (e.g., Basel III) are typically required. Strong leadership, strategic thinking, and excellent communication skills are essential for managing remote teams and influencing executive decision-making. These skills and qualifications are vital for effectively identifying risks, ensuring compliance, and driving sound credit policies across distributed teams.
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Remote Director Credit Risk Management jobs near you
Infographic showing various Remote Director Credit Risk Management job openings in Texas as of July 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Senior Data Scientist (Credit Risk)

Senior Data Scientist (Credit Risk)

Braviant Holdings

Dallas, TX • On-site, Remote

Full-time

Re-posted 8 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.