TreviPay

Sr. Manager, Decision Science

Overland Park, KS · Senior

Sponsorship not specifiedDetected 47 days ago

PythonMachine LearningData VisualizationStatisticsExcelERPSASLeadershipCommunicationPublic SpeakingMicrosoft Office

About the role

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.
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.

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
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.
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.

Bachelor's Degree Required
Minimum 8 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 extract, cleanse, merge and analyze data from varied internal and external sources.
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
The ability to multitask in a fast-paced environment

Bachelor's or Master's Degree in Statistics, Mathematics or similar quantitative field of study
Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles
Prior leadership/management experience
Employee referral program
Why you will love working at TreviPay
in saying yes to unique and challenging requirements
empowered team members are creative team members
our products make the customer's day just a little bit better

This listing is sourced directly from TreviPay's careers page and normalized into a canonical job model.