TD Bank, N.A.
AML Quantitative Analyst/Data Scientist II
TD Bank, N.A., Mount Laurel, New Jersey, United States,
AML Quantitative Analyst/Data Scientist II
Work Location:
Mount Laurel, New Jersey, United States of AmericaHours:
40Pay Details:
$76,128 - $124,800 USDTD 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.Line of Business:
Analytics, Insights, & Artificial IntelligenceJob Description:Job Summary:
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, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.Department and Role Overview:
The US Financial Crime Risk Modeling & Advanced Analytics team within the 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.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) with 3+ years of relevant experience; higher degree education and research tenure can be counted.Preferred Skills:Exceptional candidates with master's degree and relevant (including academic) experience will be considered.Proficient with Python or equivalent programming language and SQL.Experience in Financial Crimes / Compliance Risk Analytics.Experience in optimization / tuning of AML/CTF solutions.Experience with NetReveal, Quantifind, or similar products is a plus.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.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.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.Provides thought leadership and/or industry knowledge for own area of expertise.Contributes to a fair, positive and equitable environment that supports a diverse workforce.The above statements are intended to describe the general nature and level of work being performed by people assigned to this job.
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Work Location:
Mount Laurel, New Jersey, United States of AmericaHours:
40Pay Details:
$76,128 - $124,800 USDTD 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.Line of Business:
Analytics, Insights, & Artificial IntelligenceJob Description:Job Summary:
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, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.Department and Role Overview:
The US Financial Crime Risk Modeling & Advanced Analytics team within the 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.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) with 3+ years of relevant experience; higher degree education and research tenure can be counted.Preferred Skills:Exceptional candidates with master's degree and relevant (including academic) experience will be considered.Proficient with Python or equivalent programming language and SQL.Experience in Financial Crimes / Compliance Risk Analytics.Experience in optimization / tuning of AML/CTF solutions.Experience with NetReveal, Quantifind, or similar products is a plus.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.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.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.Provides thought leadership and/or industry knowledge for own area of expertise.Contributes to a fair, positive and equitable environment that supports a diverse workforce.The above statements are intended to describe the general nature and level of work being performed by people assigned to this job.
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