Senior Data Scientist (Lending Analytics)
About The Position
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline. This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.
Requirements
- 3-5 years of experience in exploratory data analysis
- Strong understanding of business and operating environment
- Statistics, data mining, aggregation, reconciliation and visualization
- Programming, data modeling, simulation, and advanced mathematics
- SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
- Tableau, Power BI or related data visualization tools
- Model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research Skills
- Interpersonal Skills
- Working knowledge of procedures, instructions, and validation techniques
- Model Development
- Communication
- Critical Thinking
- Collaborate and Build Relationships
- Initiative with sound judgement
- Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
- Sound Judgment
- Problem Solving (Responds as problems and issues are identified)
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Nice To Haves
- Experience with Linear Regression and/or Time Series modeling including originations or losses for heavily regulated processes desired
- Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Responsibilities
- Design, develop, and evaluate moderately complex predictive models and advanced algorithms
- Partner within the organization and across the enterprise in support of completion of model development and annual financial planning activities
- Develop, maintain, and manage reporting, dashboards, data models and analytical results
- Identifies meaningful insights from large data and metadata sources
- Retrieve, analyze and validate data and interpret results; Test hypotheses/models, analyze, and interpret results
- Exercise sound judgment and discretion within defined procedures and practices
- Develop and code moderately complex software programs, algorithms, and automated processes
- Use modeling and trend analysis to analyze data and provide insights
- Develop understanding of best practices and ethical AI
- Transform data into charts, tables, or format that aids effective decision making
- Build working relationships with team members and subject matter experts
- Lead small projects and initiatives
- Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders
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What This Job Offers
Job Type
Full-time
Career Level
Senior
