Treliant is an essential consulting firm serving banks, mortgage originators and servicers, fintechs, and other companies providing financial services globally. We are led by practitioners from the industry and the regulatory community who bring deep domain knowledge to help our clients drive business change and address the most pressing compliance, regulatory, and operational challenges.

We provide data-driven, technology-enabled consulting, implementation, staffing, and managed services solutions to the regulatory compliance, risk, credit, financial crimes, and capital markets functions of our clients.

Founded in 2005, Treliant is headquartered in Washington, DC, with offices across the United States, Europe, and Asia.

Treliant is committed to fostering a diverse, equitable and inclusive environment that values and embraces all races, religions, ages, abilities, genders, sexual orientations, ethnicities, languages, nationalities, political parties, socioeconomic groups and other characteristics that inform an individual's worldview, experiences and system of beliefs (“the principles”). We believe in championing every voice and ensuring everyone’s full potential.

Treliant is looking for Credit Risk Modelers for remote, project-based opportunities.  

While the scope of each project may be different, your duties & responsibilities may include: 

• Perform thorough model validation of credit decisioning and related consumer lending models.
• Rigorously evaluate predictive accuracy of model assumptions against actual performance and requirements.
• Document results in a concisely written report.
• Clearly present work to the project lead.

• Undergraduate degree in a quantitative discipline (i.e. statistics, econometrics, engineering).
• Advanced degree a plus.
• 5+ years of credit risk model validation work experience within the financial services industry.
• Strong Python and R programming skills.
• Experience using SAS and/or Stata software packages a plus.
• Experience using Machine Learning packages and evaluating Machine Learning algorithms in consumer lending/leasing or similar businesses.
• Understanding of CCAR and DFAST.
• Comfort working in a fast-paced and deadline-driven consulting environment.

Primary Location: Remote

Primary Location Salary Range: $75/hr - $150/hr

Treliant offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefit package that reflects our commitment to creating a diverse and supportive workplace.  In addition to a competitive base salary, candidate is eligible for incentive pay as well as a full range of health benefits, vacation plan, and 401k plan.

If you want to be part of a dynamic team of professionals, we invite you to join the team at Treliant.  We invest in people, and challenge you to advance your career while achieving your aspirations and goals.  Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation.  If you strive for excellence and seek an inclusive environment apply on line treliant.com and follow us on LinkedIn. 

Right to Work

Treliant is not in the position to provide sponsorship for this current position and so applicants must be able to work in the United States without requiring sponsorship.

Please note, Treliant receives a high volume of applications for all roles. While we will endeavor to respond to all applicants, this is not always possible. Should you not receive a response to your application within 2 weeks, it is likely that you will have been unsuccessful on this occasion. However, we would like to retain your details on our systems and may contact you should another potentially suitable vacancy arise.

Treliant LLC is an Equal Opportunity Employer and does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, religion, age, disability, or military status in employment or provision of services. When contacted for an interview, an applicant who requires special accommodations due to a disability should notify the office so that proper arrangements can be made.