Data Scientist II - Financial Crimes Modeling

TD Bank; New York (NY); On-site; USD 76,000 - 125,000; Full time

Job summary

An established industry player is looking for a Data Scientist to join their Financial Crime Risk Modeling team. This role involves innovating and supporting initiatives in areas such as customer rating and transaction monitoring. You will leverage your expertise in data science techniques to uncover insights and drive decision-making processes. The company is committed to professional growth and offers a dynamic work environment where your contributions will have a significant impact on compliance and risk management strategies. If you're passionate about data science and eager to make a difference, this opportunity is perfect for you.

Qualifications

• 3+ years of relevant experience or 1+ year with a higher degree.
• Proficient in Python and SQL for data science solutions.

Responsibilities

• Collect data and apply data science techniques for actionable insights.
• Collaborate with partners to develop scalable data science solutions.

Skills

Python

SQL

Data Wrangling

Statistical Inference

Data Visualization

Financial Crimes Analytics

Education

Undergraduate degree in Math, Physics, Engineering, Finance or Computer Science

Graduate degree preferred

Tools

NetReveal

Quantifind

Job description

Work Location: New York, New York, États-Unis d'Amérique

Hours: 40

Pay Details: $76,128 - $124,800 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

Line of Business: Analyses, informations et intelligence artificielle

Job Description:

Department Overview:

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 Scientist 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.

Responsibilities:

• Collect data and use 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.

Depth & Scope:

• 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.
• Scope of role may have enterprise impact.
• 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.

Education & Experience:

• 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+ years of relevant experience; higher degree education and research tenure can be counted.

Preferred Skills:

• In lieu of 3+ years of relevant experience, we will consider 1+ years of relevant experience.
• 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.

Customer Accountabilities:

• 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 retain long-term benefit to the business.

Employee/Team Accountabilities:

• 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.

Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world.