Senior Analyst, Predictive Analytics and Machine Learning
About the role
The Senior Analyst, Predictive Analytics and Machine Learning designs, develops, and maintains statistical and machine learning models that support high-volume, data-driven decisions and deliver measurable business value.
Responsibilities
- Develop and maintain complex statistical and machine learning models that optimize high-volume, data-driven decisions and deliver measurable business value.
- Actively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements.
- Develop complex SQL and analytical code to extract, transform, and validate large, multi-source datasets used for modeling, reporting, and decision support.
- Perform ad hoc and exploratory analyses to address business questions, evaluate trade-offs, and inform policy or strategy decisions.
- Translate high-level business objectives into analytical tasks, technical specifications, and modeling approaches.
- Ensure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment.
Requirements
- Bachelor’s degree or higher in a quantitative field (e.g., statistics, mathematics, economics, engineering, computer science, or related discipline).
- 3+ years of experience applying analytical and programming skills in a business or research environment.
- Proficiency in one or more analytical and programming languages such as Python, SQL, R, or SAS.
- Strong analytical problem-solving skills with the ability to apply quantitative methods creatively to business problems.
- Expertise in extracting, manipulating, and analyzing large-scale datasets.
Preferred
- Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).
- Experience developing or supporting predictive models such as credit scorecards, pricing models, or collections strategies.
- Experience in financial services analytics or a related regulated, data-intensive industry.
- Familiarity with model performance monitoring, validation concepts, and production analytics.
Targeted Compensation
$128,000 - $165,000 base salary + an annual bonus plan
Benefits
Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/dental/vision and many nonstandard benefits that make us a Great Place to Work
Our Company Values
- Positive: Maintain resiliency and focus on solutions.
- Respectful: Collaborate and actively listen.
- Insightful: Cultivate innovation, accumulate business and role-specific knowledge, demonstrate self-awareness, and make quality decisions.
- DIRECT: Effectively communicate and convey courage.
- Earnest: Take accountability, apply feedback, and effectively plan and prioritize.
Expectations
- Remain compliant with our policies, processes, and legal guidelines.
- All other duties as assigned.
- Attendance as required by department.
Advice
We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!