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Credit Risk Analytics Manager Jobs in Dallas, TX

Job Purpose The Director, Credit Risk is responsible for Portfolio analytics, business performance reporting/initiatives, and business unit support for the Risk Management organization within ...

Job Purpose The Director, Credit Risk is responsible for Portfolio analytics, business performance reporting/initiatives, and business unit support for the Risk Management organization within ...

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

... risk management, and product experiences. The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge ...

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

... risk management, and product experiences. The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge ...

... Management Reporting Senior Analyst, Equity Research Analyst, Program Head or related position ... Credit risk assessment, monitoring and reporting for a global financial services institution;

... Management Reporting Senior Analyst, Equity Research Analyst, Program Head or related position ... Credit risk assessment, monitoring and reporting for a global financial services institution;

The Credit Manager for Single-Family Seller Credit Risk Management is tasked with identifying ... Analytical and data-driven approach to risk assessment, along with interest in utilizing AI tools ...

Seller Credit Risk Manager

Plano, TX · On-site

$128K - $192K/yr

The Credit Manager for Single-Family Seller Credit Risk Management is tasked with identifying ... Analytical and data-driven approach to risk assessment, along with interest in utilizing AI tools ...

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Showing results 1-20

Credit Risk Analytics Manager information

See Dallas, TX salary details

$34.8K

$131K

$174.3K

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

As of May 29, 2026, the average yearly pay for credit risk analytics manager in Dallas, TX is $130,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $158,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Credit Risk Analytics Manager, and why are they important?

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.

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.
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Director Credit Risk

Director Credit Risk

Regional Finance

Plano, TX • On-site

Full-time

Posted 14 days ago


Regional Finance rating

6.8

Company rating: 6.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.

We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.

If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!

Job Purpose

The Director, Credit Risk is responsible for Portfolio analytics, business performance reporting/initiatives, and business unit support for the Risk Management organization within Regional Management. This position will utilize advance skills to develop strategies to drive growth in our consumer portfolios that are within RM's risk targets. The Director will deliver rigorous analytically derived recommendations driven from detailed understanding of risk and reward dynamics across RM's lending products.

Duties and Responsibilities

  • Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies and communicating with stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets.
  • Proactively monitor credit exposure, and provide recommendations and approvals to breaches in the credit process
  • Leverage credit risk data experience and business acumen to observe key trends / threats / inaccuracies and drivers of those observations.
  • Identify areas of opportunity and spearhead initiatives in order to enable profitable growth while minimizing credit risk exposure.
  • Identify business opportunities.
  • Run credit tests to optimize risk strategies, balancing risk, and return.
  • Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling techniques: linear/logistic regression, factor analysis, decision trees, clustering, segmentation, etc.
  • Quantitative analysis of custom score models including, validation, ongoing- performance monitoring, and documentation.
  • Forecast performance of marketing campaigns and tracks actual campaign performance versus the forecast.
  • Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of findings, and presentation of results.
  • Handle data while utilizing interpretive and problem solving skills with the ability to process large volume of transaction level data and efficiently derive actionable results.
  • Interact with stakeholders to understand their business questions, crafting the methodology, to mine/analyze datasets utilizing SAS/R/Python and ultimately delivers a final insightful recommendations to stakeholders.

Minimum Qualifications

  • Bachelor's degree in Statistics, Data Analytics, Economics, Math, or similar
  • 6+ years of consumer finance, risk analytics, or relevant experience
  • Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python.
  • Advanced programming skills in SAS/R/Python and SQL.
  • Moderate to Expert level skills in Microsoft Office Suite (Excel, Access, and Outlook a must)
  • Must pass pre-employment screenings.

Preferred Qualifications

  • Experience in Financial Services with consumer credit data utilizing SAS/R/Python.
  • Experience analyzing marketing data in a financial environment.
  • Experience developing risk models for a financial institution.

Critical Competencies

  • Excellent oral and written communication skills; especially the ability to explain complex analyses in easily understood terms.
  • Excellent organizational skills with the ability to prioritize and handle multiple tasks and responsibilities simultaneously.
  • Utilize appropriate analysis, judgment and logic when solving problems and making decisions.
  • Demonstrated ability to apply complex financial and statistical principles.
  • Effective written and verbal presentation skills; able to communicate well with Senior and Executive Management.
  • Innovative problem solving, quantitative and analytical abilities.
  • Detail-oriented.
  • Able to work with minimal supervision.
  • Flexible, proactive working style.
  • Adaptive to a team environment.

Working Conditions

This position works in an office environment.

Direct Reports

3-5 direct reports.

If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf

Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law ("Protected Characteristics"). Regional's policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.


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