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Credit Risk Analytics Manager Jobs in Fort Worth, TX

Regional Finance

Manager Credit Risk

Plano, TX · On-site

This positions will utilize advance skills to analyze data, portfolio level performance trends, custom scorecard analysis, and forecasting skills to support credit risk functions. Duties and ...

Fifth Third

Credit Risk Officer II

Dallas, TX · On-site

Monitors credit quality through forward looking analysis as well as reviewing system-generated reports. Responsible and accountable for credit risk management and constructive, credible challenge by ...

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Credit Risk Analytics Manager information

See Fort Worth, TX salary details

$32.8K

$123.6K

$164.5K

How much do credit risk analytics manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for credit risk analytics manager in Fort Worth, TX is $123,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $150,000.00 per year, depending on experience, location, and employer.

What does a credit risk analytics manager do?

A Credit Risk Analytics Manager is responsible for analyzing and managing the credit risk exposure of a financial institution or organization. They develop and implement risk assessment models, analyze large sets of financial data, and create strategies to minimize potential losses from credit defaults. Their work involves collaborating with other departments, such as lending, underwriting, and compliance, to ensure that the company's credit policies are effective and aligned with regulatory requirements. Additionally, they report on risk trends and provide insights to support business decision-making.

What are the key skills and qualifications needed to thrive as a credit risk analytics manager?

To thrive as a Credit Risk Analytics Manager, you need a strong background in quantitative analysis, risk assessment, and finance, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in statistical software (such as SAS, R, or Python), data visualization tools, and familiarity with regulatory frameworks like Basel III are essential. Strong problem-solving, communication, and leadership skills help you effectively interpret complex data and guide cross-functional teams. These capabilities are crucial to accurately assess credit risk, inform business decisions, and ensure compliance with industry regulations.

How does a credit risk analytics manager typically collaborate with other departments to manage risk effectively?

A Credit Risk Analytics Manager works closely with various teams such as underwriting, finance, IT, and compliance to gather data, implement risk models, and ensure regulatory requirements are met. This collaboration often includes presenting analytical findings to senior management, advising on credit policy adjustments, and supporting product development with risk assessments. Effective communication and teamwork are essential, as the manager translates complex data insights into actionable strategies that align with business goals. Cross-functional collaboration also helps identify potential risks early and ensures the company’s credit strategies are robust and up-to-date.

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Credit Risk Analytics Manager jobs near you

Senior Credit Risk Analyst

Braviant Holdings

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Title: Senior Credit Risk Analyst
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.
Position Summary
The Senior Credit Risk Analyst supports the full credit risk lifecycle at Braviant, from originations strategy and underwriting analytics to portfolio monitoring and loss forecasting. This is a highly technical, execution-focused role for someone who is equally comfortable writing production SQL/Python, building a segmentation strategy, and presenting findings to senior leadership. You will work directly with the Head of Credit to develop and refine the risk strategies that drive portfolio performance across our direct mail and digital lending channels.
This is a hands-on, high-impact role suited for someone who is analytical, detail-oriented, and biased toward action, not just case review.
What You'll Be Doing
  • Track and analyze key portfolio metrics including FPD, GNS, delinquency roll rates, and D2M performance across origination cohorts and risk segments
  • Build and maintain dashboards and recurring reporting that surface early warning signals and portfolio trends
  • Conduct vintage analysis, loss curve development, and cohort-level performance reviews to support monthly and quarterly business reviews
  • Support the design and evaluation of originations strategies, score cutoffs, and underwriting policy changes across DM and digital channels
  • Analyze the performance impact of ongoing A/B tests and pricing experiments, translating results into actionable recommendations

What You Will Bring
Required
  • 3 to 5 years of experience in credit risk, consumer lending analytics, or a closely related quantitative role
  • Strong SQL skills; you write complex queries without a template
  • Strong experience with Python for data analysis and modeling
  • Working knowledge of credit risk concepts: scorecards, vintage analysis, delinquency curves, loss forecasting
  • Ability to communicate analytical findings clearly to non-technical stakeholders

Preferred
  • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
  • Familiarity with credit decisioning, underwriting strategy, or fraud detection
  • Experience working in a regulated financial services environment
  • Exposure to A/B testing, experimentation frameworks, or champion/challenger strategies

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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