
10,000+ employees
Founded 1855
🏦 Banking
💸 Finance
🛡️ Insurance
💰 Grant on 2023-10
Banking • Finance • Insurance
TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.
🔥 1 minute ago
🐊 Florida, New Jersey, +5 more states – Remote
💵 $96.1k - $155.9k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on TD's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

10,000+ employees
Founded 1855
🏦 Banking
💸 Finance
🛡️ Insurance
💰 Grant on 2023-10
Banking • Finance • Insurance
TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.
• Provide technical leadership across the Analytics function • Create, develop, and maintain AML typologies • Leverage analytics to proactively identify and mitigate financial crime risks • Collaborate with cross-functional teams and support Financial Intelligence Units through targeted data analysis • Contribute to strategic initiatives strengthening AML efforts across the organization • Oversee execution of multiple projects within established timelines • Provide second-level project oversight • Work with business owners to identify opportunities and serve as a data science ambassador • Understand business context and data infrastructure and translate business problems into data science solutions • Extract and prepare data using programming languages such as Python • Apply statistics and advanced analytics to extract insights from big data • Visualize data insights and communicate findings to decision-makers and stakeholders • Collaborate with analysts, engineers, and developers to build scalable, sustainable data science solutions • Provide analytical thought leadership and stay current on data mining and data science developments • Improve business processes through data-driven insights • Educate the organization on hypothesis testing and statistical validation • Support continuous improvement, risk, governance, and remediation initiatives • Manage relationships across business lines, corporate functions, and control functions • Monitor emerging issues, trends, and regulatory requirements • Maintain a culture of risk management and control • Participate in knowledge transfer, mentoring, team development, and cross-functional initiatives • Keep stakeholders informed about project status and relevant day-to-day information
• Applicants must be either a U.S. citizen or a U.S. Lawful Permanent Resident (Green Card Holder) • Must not require current or future TD sponsorship • 5+ years of relevant experience, or progressive project work experience with a preferred degree • Undergraduate degree or advanced technical degree preferred, such as math, physics, engineering, finance, or computer science • Graduate degree preferred • Experience in Financial Crimes / Compliance Risk Analytics • Experience generating data and analytics insights and addressing transaction monitoring system efficiency and effectiveness • Experience with data transformation, ETL, and combining data from multiple sources • Hands-on experience developing, validating, and deploying machine learning models • Experience with Microsoft Azure, Python, SQL, and Databricks • Experience with generative and agentic AI • Knowledge of data mining, statistics, advanced analytics, and data science techniques • Ability to translate business problems into viable data science solutions • Ability to visualize insights and communicate results to technical and non-technical stakeholders • Ability to work with data and business analysts, software engineers, data engineers, and application developers • Ability to work independently on technical data management solutions • Ability to manage and prioritize multiple projects • Ability to travel domestically occasionally • U.S. work authorization without current or future visa sponsorship
• Variable compensation/incentive awards, including eligibility for cash and/or equity 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 • Reward and recognition • Regular career, development, and performance conversations • Online learning platform • Mentoring programs • Training and onboarding sessions • Flexible remote work arrangement • Occasional domestic travel
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