Sr Decision Science Analyst

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. 
Responsibilitieso   Develop statistical models and other types of predictive models as appropriate to improve our Credit and Fraud risk position, for both application and portfolio risk.o   Develop risk and pricing strategies, incorporating the predictive models built for Credit and Fraud.o   Monitor the results of risk and pricing strategies by evaluating performance relative to expectations.o   Develop monitoring tools to evaluate continued performance of both generic and custom modelso   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.o   Deliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results.o   Conduct data exploration, data validation, and data audits to identify and address data quality issues and recommend improvements.o   Support Engineering and Product teams with resolution of roadblocks and interdependencies.
Requirements:o   Bachelor’s Degree Requiredo   Minimum 6 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.o   Strong knowledge of B2B credit and/or Business Banking credit risk, pricing, and profitability principleso   Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.o   Ability to extract, cleanse, merge and analyze data from varied internal and external sources.o   Strong analytical and data simulation skills including SAS and/or Python, MS Excel, Tableau/Sisense, or similar analytical and reporting/data visualization packages.o   Strong presentation skills and proficiency in MS Word and PowerPointo   Experience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvementso   Ability to create clear, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvementso   High performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and enterprise risko   The ability to multitask in a fast-paced environmento   Strong communication skills, both verbal and written
Preferred Qualifications:o   Bachelor’s or Master’s Degree in Statistics, Mathematics or similar quantitative field of studyo   Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principleso   Statistical modeling experience (logistic regression, machine learning, SVM, and more)o   Prior leadership experienceWhy 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 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 contact Recruiting@trevipay.com to request an accommodation.