Senior Decision Science Analyst

🔥 12 hours ago

🌪️ Kansas – Remote

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⏰ Full Time

🟠 Senior

🧐 Analyst

🦅 H1B Visa Sponsor

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👻 Ghost score 11%

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Logo of TreviPay

TreviPay

501 - 1000 employees

📦 Logistics

🏭 Manufacturing

✈️ Travel

Logistics • Manufacturing • Travel

TreviPay is a leader in the B2B payment solutions industry, providing an innovative platform for trade credit, accounts receivable collections, and fraud & risk management. Specializing in transforming the order-to-cash process, TreviPay's services are designed to enhance businesses' financial performance by offering a wide array of payment methods and collection options tailored to optimize cash flow. Trusted by top brands in manufacturing, retail, and travel, TreviPay also supports digital transformation and international expansion through its A/R automation solutions. With a history spanning over 40 years, TreviPay continues to revolutionize the B2B payments landscape with its fintech innovations.

📋 Description

• Develop statistical and predictive models to improve Credit and Fraud risk positions for application and portfolio risk • Develop risk and pricing strategies incorporating predictive models for Credit and Fraud • Monitor risk and pricing strategy results against expectations • Develop monitoring tools to evaluate the continued performance of generic and custom models • Access, cleanse, and analyze internal and external data for B2B credit risk management and pricing strategies across new account origination and existing account management • Deliver and communicate data-driven analyses to stakeholders and senior management, providing actionable insights • Conduct data exploration, validation, and audits to identify data quality issues and recommend improvements • Support Engineering and Product teams in resolving roadblocks and interdependencies

🎯 Requirements

• Bachelor’s Degree Required • 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 • 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 and/or 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 • Ability to multitask in a fast-paced environment • Strong communication skills, both verbal and written • Preferred: Bachelor’s or Master’s Degree in Statistics, Mathematics or similar quantitative field of study • Preferred: Statistical modeling experience (logistic regression, machine learning, SVM, and more) • Preferred: Prior leadership experience

🏖️ Benefits

• 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 • Reasonable accommodation for individuals with disabilities during the application and/or interview process

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