TreviPay

Sr. Manager, Decision Science

TreviPay • $100K — $130K *
Overland Park, KS 66212In-Person
Finance & Insurance
8 - 10 years of experience
1 week ago
Job Overview by Ladders

Qualifications

  • Bachelor's Degree required; Master's preferred in Statistics, Mathematics or similar field
  • 8+ years of experience in analytical roles with a focus on complex business analyses
  • Expertise in B2B credit, pricing, and profitability principles
  • Proficient in analytical tools like SAS, Python, MS Excel, Tableau or similar
  • Strong presentation skills with proficiency in MS Word and PowerPoint
  • Ability to analyze and visualize data to identify trends and suggest improvements
  • Effective communicator with strong verbal and written skills

Responsibilities

  • Develop statistical and predictive models to enhance risk management and profitability
  • Create and document a Model Development Framework for consistent modeling processes
  • Monitor and evaluate performance of risk and pricing strategies
  • Analyze customer data and market trends to boost market share and profitability
  • Conduct thorough data cleansing and analysis for effective credit risk management
  • Prepare and enhance reports for executive leadership detailing key risk indicators
  • Communicate data-driven analyses, providing actionable insights to stakeholders

Benefits

  • Paid parental leave
  • Generous paid time off
  • Comprehensive medical, dental, and vision insurance
  • 401K matching program
  • Employee referral program
  • Focus on work/life balance and team empowerment
Full Job Description
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:
  • 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 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:
  • 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
  • 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:
  • 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
  • work/life balance makes us all more effective

About TreviPay

TreviPay is a financial technology company that provides a cloud-based platform for managing corporate payments. The company's platform enables businesses to automate their accounts payable and accounts receivable processes, manage their cash flow, and optimize their working capital. TreviPay's solutions are designed to help businesses reduce costs, improve efficiency, and increase visibility into their financial operations. The company was founded in 2013 and is headquartered in Roswell, GA.
Learn more about TreviPay
Size
50 employees
Industry
Finance & Insurance
* Ladders Estimates

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