TD Bank is looking to solve business and technical problems related to data science, project management, and business analysis, with the goal of improving decision making and strategic planning.
Requirements
- SQL Developer
- Python
- Previous AML/Sanctions Screening experience
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- 3+ years of relevant experience
- Graduate's degree preferred with either progressive project work experience, or higher degree education and research tenure can be counted
Responsibilities
- Collecting data and using a wide range of data science techniques, including data wrangling, profiling, and visualization, statistical inference, to uncover actionable insights or build analytics solutions
- Translating business problems to viable data science solutions
- Using programming 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 big data
- Visualizing 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
- Collaborating with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions
- Managing project-related workstreams, facilitating and tracking dependencies between cross-functional teams to ensure projects' deliverables are on time and in scope
- Gathering and prioritizing business requirements, translating requirements into functional and non-functional, advising on solutions, and ensuring projects' key goals are met
Other
- Undergraduate degree or advanced technical degree preferred
- 3+ years of relevant experience
- Domestic Travel – Occasional
- International Travel – Never
- Must be available to come into a TD location for 'moments that matter' at a frequency determined by the business
