TD is seeking a Senior Data Scientist to provide technical leadership in financial crime risk model development and monitoring, aiming to solve complex data analysis problems and improve business processes through data-driven insights.
Requirements
- Hands-on experience in modeling with strong coding skills in Python and SQL.
- Experience with LLM and knowledge of the AML domain is a plus, along with experience in SAS coding and Transaction Monitoring.
- Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
- 5+ year of relevant experience; higher degree education and research tenure can be counted
- Graduate's degree preferred with either progressive project work experience or
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
Responsibilities
- Provides technical leadership across the overall Analytics function which may have an enterprise mandate.
- Responsible for financial crime risk model development and monitoring.
- Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
- Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
- Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
- Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business
- Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
Other
- Works closely with business owners to identify opportunities and serves as an ambassador for data science
- Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
- Domestic Travel – Occasional
- Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest
- Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit
