Senior Data Scientist, Financial Services
Skills
About the Role
You will own end-to-end analytics products and models used to detect, prevent, and mitigate cryptocurrency fraud and financial crime. You will design and implement statistical analyses, algorithms, and interactive visualizations for complex blockchain and transactional data. You will collaborate with engineers, data scientists, product managers, and customers to translate challenges into actionable products, communicate findings to technical and non-technical stakeholders, and establish statistical rigor and best practices. You will mentor colleagues, support rapid MVP delivery, and participate in an analytics on-call rotation when needed.
Requirements
- Degree in a quantitative field (Computer Science, Statistics, Engineering, Economics, Physics); advanced degree preferred
- 8+ years of experience in an analytical role
- Experience building scalable data and analytics products from design to deployment
- Proven programming experience (Python preferred); familiarity with git, notebooks, and testing
- Strong knowledge of relational databases and SQL
- Strong statistical thinking and analytics toolbox
- Excellent verbal and written communication skills
- High tolerance for ambiguity and outcome-oriented work style
Responsibilities
- Lead implementation of advanced analytics products
- Define roadmap and prioritize analytics and AI products
- Collaborate with internal teams and customers to translate challenges into products
- Develop statistical analyses, algorithms, and interactive visualizations
- Design algorithms to analyze distributed ledger and transactional data
- Communicate findings to technical and non-technical stakeholders
- Establish statistical rigor and best practices for data-driven decision making
- Mentor and coach colleagues
- Participate in analytics on-call rotation
Benefits
- Eligibility to participate in TRM's equity plan