What are the responsibilities and job description for the Sr Decision Science Analyst position at TreviPay?
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.
Responsibilities
oDevelop statistical models and other types of predictive models as appropriate to improve our Credit and Fraud risk position, for both application and portfolio risk.
oDevelop risk and pricing strategies, incorporating the predictive models built for Credit and Fraud.
oMonitor the results of risk and pricing strategies by evaluating performance relative to expectations.
oDevelop monitoring tools to evaluate continued performance of both generic and custom models
oAccess, 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.
oDeliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results.
oConduct data exploration, data validation, and data audits to identify and address data quality issues and recommend improvements.
oSupport Engineering and Product teams with resolution of roadblocks and interdependencies.
Requirements
oBachelor’s Degree Required
oMinimum 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.
oStrong knowledge of B2B credit and/or Business Banking credit risk, pricing, and profitability principles
oAbility to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.
oAbility to extract, cleanse, merge and analyze data from varied internal and external sources.
oStrong analytical and data simulation skills including SAS and/or Python, MS Excel, Tableau/Sisense, or similar analytical and reporting/data visualization packages.
oStrong presentation skills and proficiency in MS Word and PowerPoint
oExperience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvements
oAbility to create clear, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvements
oHigh performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and enterprise risk
oThe ability to multitask in a fast-paced environment
oStrong communication skills, both verbal and written
Preferred Qualifications
oBachelor’s or Master’s Degree in Statistics, Mathematics or similar quantitative field of study
oStrong knowledge of B2B and/or Business Banking credit product pricing and profitability principles
oStatistical modeling experience (logistic regression, machine learning, SVM, and more)
oPrior leadership experience
Why you will love working at TreviPay
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.
Every day, TreviPay employees are challenged and empowered in a supportive, collaborative, entrepreneurial environment.
Responsibilities
oDevelop statistical models and other types of predictive models as appropriate to improve our Credit and Fraud risk position, for both application and portfolio risk.
oDevelop risk and pricing strategies, incorporating the predictive models built for Credit and Fraud.
oMonitor the results of risk and pricing strategies by evaluating performance relative to expectations.
oDevelop monitoring tools to evaluate continued performance of both generic and custom models
oAccess, 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.
oDeliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results.
oConduct data exploration, data validation, and data audits to identify and address data quality issues and recommend improvements.
oSupport Engineering and Product teams with resolution of roadblocks and interdependencies.
Requirements
oBachelor’s Degree Required
oMinimum 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.
oStrong knowledge of B2B credit and/or Business Banking credit risk, pricing, and profitability principles
oAbility to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.
oAbility to extract, cleanse, merge and analyze data from varied internal and external sources.
oStrong analytical and data simulation skills including SAS and/or Python, MS Excel, Tableau/Sisense, or similar analytical and reporting/data visualization packages.
oStrong presentation skills and proficiency in MS Word and PowerPoint
oExperience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvements
oAbility to create clear, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvements
oHigh performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and enterprise risk
oThe ability to multitask in a fast-paced environment
oStrong communication skills, both verbal and written
Preferred Qualifications
oBachelor’s or Master’s Degree in Statistics, Mathematics or similar quantitative field of study
oStrong knowledge of B2B and/or Business Banking credit product pricing and profitability principles
oStatistical modeling experience (logistic regression, machine learning, SVM, and more)
oPrior leadership 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
- 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
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.
