Salary
💰 $95,264 - $155,376 per year
About the role
- Understand business needs and convert business requirements to technical solutions
- Lead, develop and manage end-to-end statistical analyses on TD products to ensure fair banking compliance
- Document analytical deliverables in a sustainable format and generate ad-hoc analytical reports and presentations
- Perform quantitative analysis to identify potential fair lending risks in business practice
- Develop specialized analytical tools and predictive models; apply statistical inference and technical reporting
- Guide and provide mentorship to junior team members and share expertise in training sessions
- Collaborate with partner teams (data analysts, software engineers, data engineers, application developers) to build scalable analytics solutions
- Communicate complex results to non-technical audiences and possibly advise line of business model owners on best practices for compliance
- Work autonomously as lead on multiple projects and prioritize based on changing business needs
Requirements
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- Graduate's degree preferred or 5+ years of relevant experience; higher degree education and research tenure can be counted
- Master or doctorate degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering) preferred
- Strong statistics knowledge is required
- Demonstrated experience in development of predictive models using Python, SAS or R
- Proficiency in one of the following tools: Python, SAS or R is required
- Experience working with AI/ML and Gen AI based models
- Experience working with databases/datasets and data visualization tools (Tableau/Power BI) is a plus
- Strong written and verbal communication and presentation skills
- Ability to lead, mentor junior team members and work autonomously on multiple projects
- Entrepreneurial mindset and comfort with ambiguity