Data Scientist II (US) FCRM Modeling

TD•Boston, MA

3d•$76,290 - $125,260•Onsite

About The Position

The Data Scientist II is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, and statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning. The US Financial Crime Risk Modeling & Advanced Analytics team within the US Financial Crime department is responsible for developing, maintaining, and enhancing 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 data scientists at various levels 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.

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;
3+ year of relevant experience; higher degree education and research tenure can be counted
Proficiency in Python and SQL coding
Hands-on experience with advanced quantitative analysis, statistical modeling, and machine learning
Strong communication skills, with the ability to present analytical findings to both technical and non-technical audiences

Nice To Haves

Graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline; academic research experience may be considered equivalent to industry experience
Experience with LLM prompt engineering and performance evaluation is a plus
Knowledge of financial crime, anti-money laundering (AML), sanctions screening, watchlist screening, or compliance risk analytics is a plus
Awareness of Responsible AI and model governance is a plus

Responsibilities

Collects data and uses a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
Develops, maintains, and enhances Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions.
Supports TD's global AML/CTF strategies.
Addresses emerging risks.
Works autonomously within a specialized business management function and may provide work direction to others.
Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members.
Focuses on short to medium - term issues (e.g. 6-12 months).
Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise.
Oversees and/or independently performs tasks from end-to-end.
Understands business context and data infrastructure and translates business problems to viable data science solutions.
Uses a wide range of 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 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.
Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency.
Educates the organization on approaches, such as testing hypotheses and statistical validation of results.
Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment.
Translates up to date information into continuous improvement activities that enhance performance.
Adheres to enterprise frameworks or methodologies that relate to activities for our business area.
Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities.
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 where opportunities exist.
Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues.
Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements.
Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts.
Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite.
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.
Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques.
Participates in personal performance management and development activities, including cross training within own team.
Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities.
Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships.
Contributes to a fair, positive and equitable environment that supports a diverse workforce.
Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally.