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Director, Decision Science

TreviPay

Job Location:

Overland Park, KS - USA

Monthly Salary: Not provided by the employer

Posted: 11 July 2026 (30+ days ago)

Application Deadline: 18 October 2026

Vacancies: 1 Vacancy

Department:

Risk Management

Job Summary

At TreviPay we believe loyalty begins at the payment. Thousands of sellers use our global B2B payments and invoicing network to provide choice and convenience to buyers open new markets and automate accounts receivables. With integrations to top eCommerce and ERP solutions and flexible trade credit options TreviPay brings 40 years of experience serving leaders in manufacturing retail and transportation.

Every day TreviPay employees are challenged and empowered in a supportive collaborative entrepreneurial environment.

Step into a high-impact role where your analytics shape real business decisions. At TreviPay were looking for a Directorof Decision Science who is a data-driven risk expert who thrives on turning complex data into actionable this role youll influence credit and fraud strategy pricing and profitabilitypartnering cross-functionally to drive smarter decisions and fuel growth across our global fintech platform.

Responsibilities

Develop statistical models and other types of predictive models as appropriate to improve our risk position (both fraud and credit) pricing strategies and profitability.
Support the creation of a Model Development Framework documenting the approach the Risk Management team will use so that we incorporate a consistent stable modeling process at Trevipay
Monitor the results of risk and pricing strategies by evaluating performance relative to expectations.
Analyze customer usage competitor pricing and market trends to increase market share and profitability.
Access cleanse and analyze relevant internal and external data to support the creation monitoring and improvement of effective B2B credit risk management and pricing strategy techniques across new account origination and existing account management.
Develop/enhance the Portfolio Risk Assessment reporting package detailing Key Risk Indicators trends and projections for presentation to the executive leadership team.
Deliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results.
Conduct data exploration data validation and data audits to identify and address data quality issues and recommend improvements.
Support Engineering and Product teams with resolution of roadblocks and interdependencies.
Support internal/external Data Scientists with subject matter expertise and clean actionable datasets for the growth of predictive and advanced analytical capabilities.

Requirements:

Bachelors Degree Required
Minimum 10 years of proven work experience in a highly analytical environment performing complex business analyses generating data-driven insights and presenting findings to leadership and other stakeholders.
Strong knowledge of B2B credit and/or Business Banking credit risk pricing and profitability principles
Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.
Ability to extract cleanse merge and analyze data from varied internal and external sources.
Strong analytical and data simulation skills including SAS Python MS Excel Tableau/Sisense or similar analytical and reporting/data visualization packages.
Strong presentation skills and proficiency in MS Word and PowerPoint
Experience in analyzing segments of data or utilizing tools to identify and explain patterns trends and/or process improvements
Ability to create clear concise graphs charts reports and presentations summarizing analytical results and justifying suggested improvements
High performing contributor with ability to collaborate cross-functionally with management product technology compliance and enterprise risk
The ability to multitask in a fast-paced environment
Strong communication skills both verbal and written

Preferred Qualifications:

Bachelors or Masters Degree in Statistics Mathematics or similar quantitative field of study
Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles
Statistical modeling experience (logistic regression machine learning SVM and more)
Prior leadership/management experience

Why you will love working at TreviPay

Competitive salary
Paid parental leave
Generous paid time off
Medical dental vision FSA Life/AD&D long and short term disability
401K matching
Employee referral program

At TreviPay we believe:

insaying yes to unique and challenging requirements
empowered team members are creative team members
our products make the customers day just a little bit better
work/life balance makes us all more effective

TreviPay is an Equal Opportunity and Affirmative Action Employer. We welcome all veterans and disabled applicants.

Individuals with disabilities will be provided reasonable accommodation to participate in the job application and/or interview process. Please contactemailprotectedto request an accommodation.

Required Experience:

Director

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