Data Scientist III - Financial Crimes Modeling

TD Bank

316d • $95,264 - $155,376

About The Position

The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We are seeking a Data Science specialist to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting. The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.

Requirements

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science).
• Graduate's degree preferred with either progressive project work experience or 5+ years of relevant experience; higher degree education and research tenure can be counted.
• Proficient with Python or equivalent programming language and SQL.
• Experience in Financial Crimes / Compliance Risk Analytics.
• Experience in optimization / testing / tuning of AML/CTF solutions.
• Experience with NetReveal, Quantifind, or similar analytics tools.

Nice To Haves

• In lieu of 5+ years of relevant experience, we will consider 3+ years of relevant experience.

Responsibilities

• Accountable for a significant business management area that typically has enterprise-wide impact or accountability.
• Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes.
• Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size.
• Focuses on longer-range planning for functional area (e.g. 12 months or greater).
• May manage and prioritize multiple projects at a given time.
• Works closely with business owners to identify opportunities and serves as an ambassador for data science.
• Uses a wide range of programming languages and techniques for extracting and preparing data, applying statistics and various advanced analytics.
• Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders.
• 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.
• Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations.
• Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements.

Benefits

• Base salary and variable compensation/incentive awards.
• Health and well-being benefits.
• Savings and retirement programs.
• Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO).
• Banking benefits and discounts.
• Career development opportunities.
• Reward and recognition programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree