For companies:
For professionals:
For everyone:
Responsibilities
As a Senior Decision Science Analyst, you'll sit at the intersection of data, risk, and business strategy. You'll use analytics and predictive modeling to uncover insights, evaluate portfolio performance, and guide critical credit, fraud, and pricing decisions. Partnering with teams across the organization, you'll help solve complex business challenges, influence strategic initiatives, and deliver data-driven solutions that support growth while managing risk.ResponsibilitiesDeliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results.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 for existing account management.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.Analyze risk and pricing strategies, including the predictive models built for those strategies in Credit and Fraud.Monitor the results of risk and pricing strategies by evaluating performance relative to expectations.Develop monitoring tools to evaluate continued performance of both generic and custom modelsSupport the development (or build yourself) of statistical models and other types of predictive models as appropriate to improve our Credit and Fraud risk position, for both application and portfolio risk.Requirements:Bachelor’s Degree RequiredMinimum 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.Strong knowledge of B2B credit and/or Business Banking credit risk, pricing, and profitability principlesAbility 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 and/or Python, MS Excel, Enterprise Reporting BI tools, or similar analytical and reporting/data visualization packages.Strong presentation skills and proficiency in MS Word and PowerPointExperience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvementsAbility to create clear, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvementsHigh performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and enterprise riskThe ability to multitask in a fast-paced environmentStrong communication skills, both verbal and writtenPreferred Qualifications:Bachelor’s or Master’s Degree in Statistics, Mathematics or similar quantitative field of studyStrong knowledge of B2B and/or Business Banking credit product pricing and profitability principlesStatistical modeling experience (logistic regression, machine learning, SVM, and more)Prior leadership experienceWhy you will love working at TreviPayCompetitive salaryPaid parental leaveGenerous paid time offMedical, dental, vision, FSA, Life/AD&D, long and short term disability401K matchingEmployee referral programAt TreviPay we believe:in saying yes to unique and challenging requirementsempowered team members are creative team membersour products make the customer’s day just a little bit betterwork/life balance makes us all more effectiveTreviPay 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.
Closes in:
0
days
0
hours
0
min
0
sec
tune NOT FOR YOU? IMPROVE YOUR RESULTS