TD Bank
AML Quantitative Analyst/Data Scientist III
TD Bank, Mount Laurel, New Jersey, United States,
AML Quantitative Analyst/Data Scientist IIIWork Location:
Mount Laurel, New Jersey, United States of America
Hours:
40
Pay Details:
$95,264 - $155,376 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.
Line of Business:
Analytics, Insights, & Artificial Intelligence
Job Description:
Department and Role Overview:
The US Financial Crime Risk Modeling & Advanced Analytics team is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions.
We are seeking data scientists at various levels to innovate, drive, and support initiatives in multiple functional areas including customer rating, sanctions screening, transaction monitoring, and analytics.
Job Description:
The Data Scientist III provides technical leadership across the overall Analytics function, offering deep technical knowledge in client interactions to explain complex data analysis.
Depth & Scope:
Accountable for a significant business management area with enterprise-wide impact.
Requires broad managerial and deep specialized knowledge.
Undertakes complex initiatives requiring specialist knowledge and integration of cross-functional processes.
Works independently on analysis, design, and support of technical data management solutions.
Focuses on longer-range planning for functional area.
May manage and prioritize multiple projects.
Education & Experience:
Undergraduate or advanced technical degree preferred.
5+ years of relevant experience; higher degree education can be counted.
Preferred Skills:
Master's degree and over 2 years' relevant experience.
Proficient with Python and SQL.
Experience in Financial Crimes / Compliance Risk Analytics.
Experience with optimization/tuning of AML/CTF solutions.
Customer Accountabilities:
Works closely with business owners to identify opportunities.
Translates business problems into viable data science solutions.
Uses programming languages and techniques for extracting and preparing data.
Visualizes insights from data to convey results to decision-makers.
Collaborates with partners to develop scalable data science solutions.
Employee/Team Accountabilities:
Supports a positive work environment promoting service, quality, and teamwork.
Participates in personal performance management and development activities.
Contributes to team development through mentorship and knowledge sharing.
Who We Are:
TD is one of the world's leading global financial institutions and is committed to delivering legendary customer experiences.
Our Total Rewards Package:
Includes base salary, variable compensation, health and well-being benefits, and career development opportunities.
Additional Information:
We’re committed to providing the support our colleagues need to thrive both at work and at home.
Accommodation:
If you need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Mount Laurel, New Jersey, United States of America
Hours:
40
Pay Details:
$95,264 - $155,376 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.
Line of Business:
Analytics, Insights, & Artificial Intelligence
Job Description:
Department and Role Overview:
The US Financial Crime Risk Modeling & Advanced Analytics team is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions.
We are seeking data scientists at various levels to innovate, drive, and support initiatives in multiple functional areas including customer rating, sanctions screening, transaction monitoring, and analytics.
Job Description:
The Data Scientist III provides technical leadership across the overall Analytics function, offering deep technical knowledge in client interactions to explain complex data analysis.
Depth & Scope:
Accountable for a significant business management area with enterprise-wide impact.
Requires broad managerial and deep specialized knowledge.
Undertakes complex initiatives requiring specialist knowledge and integration of cross-functional processes.
Works independently on analysis, design, and support of technical data management solutions.
Focuses on longer-range planning for functional area.
May manage and prioritize multiple projects.
Education & Experience:
Undergraduate or advanced technical degree preferred.
5+ years of relevant experience; higher degree education can be counted.
Preferred Skills:
Master's degree and over 2 years' relevant experience.
Proficient with Python and SQL.
Experience in Financial Crimes / Compliance Risk Analytics.
Experience with optimization/tuning of AML/CTF solutions.
Customer Accountabilities:
Works closely with business owners to identify opportunities.
Translates business problems into viable data science solutions.
Uses programming languages and techniques for extracting and preparing data.
Visualizes insights from data to convey results to decision-makers.
Collaborates with partners to develop scalable data science solutions.
Employee/Team Accountabilities:
Supports a positive work environment promoting service, quality, and teamwork.
Participates in personal performance management and development activities.
Contributes to team development through mentorship and knowledge sharing.
Who We Are:
TD is one of the world's leading global financial institutions and is committed to delivering legendary customer experiences.
Our Total Rewards Package:
Includes base salary, variable compensation, health and well-being benefits, and career development opportunities.
Additional Information:
We’re committed to providing the support our colleagues need to thrive both at work and at home.
Accommodation:
If you need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#J-18808-Ljbffr