Data Scientist II – FCRM Modeling

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🏖️ New Jersey, North Carolina, +3 more states – Remote

🏖️ New Jersey – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🌴 South Carolina – Remote ⚔️ Virginia – Remote

💵 $76.3k - $125.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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TD

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Collect data and apply data science techniques, including data wrangling, profiling, visualization, and statistical inference, to uncover actionable insights and build analytics solutions • Guide decision-making and strategic planning through data science solutions • Develop, maintain, and enhance enterprise AML/CTF models and AI solutions • Support AML/CTF strategies, regulatory requirements, internal policies, emerging-risk initiatives, and industry best practices • Work across customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics, and reporting • Understand business context and data infrastructure and translate business problems into viable data science solutions • Extract and prepare data, apply statistics and advanced analytics, and derive insights from big data • Visualize insights and communicate analytical results to technical and non-technical decision-makers • Collaborate with data and business analysts, software engineers, data engineers, and application developers on scalable data science solutions • Improve business processes through insights, hypothesis testing, and statistical validation • Educate the organization on data science principles and mathematical foundations • Participate in cross-functional and enterprise initiatives as a subject matter expert • Monitor service, productivity, efficiency, performance, risk, and governance, implementing improvement or remediation plans • Manage relationships across business lines, corporate functions, and control functions • Monitor emerging issues, trends, and regulatory requirements and assess impacts • Keep stakeholders informed about project progress and relevant day-to-day information • Contribute to team development through mentorship, knowledge sharing, and best practices • Maintain risk management and control culture aligned with risk appetite

🎯 Requirements

• Applicants must be either a US Citizen or have a US Resident Green Card authorization • Must not have a current or future need for TD sponsorship • Undergraduate degree or advanced technical degree preferred; graduate degree preferred • 3+ years of relevant experience, or progressive project work experience with a graduate degree • Higher degree education and research tenure may be counted toward experience • Graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related quantitative discipline preferred • Academic research experience may be considered equivalent to industry experience • Proficiency in Python and SQL coding • Hands-on experience with advanced quantitative analysis, statistical modeling, and machine learning • Strong communication skills and ability to present analytical findings to technical and non-technical audiences • Experience with LLM prompt engineering and performance evaluation is a plus • Knowledge of financial crime, anti-money laundering, sanctions screening, watchlist screening, or compliance risk analytics is a plus • Awareness of Responsible AI and model governance is a plus • Ability to work autonomously within a specialized business management function • Ability to complete complex projects and initiatives requiring specialist knowledge or cross-functional process integration • Ability to perform end-to-end tasks • Ability to understand business context, data infrastructure, and business needs • Ability to collaborate with analysts, engineers, and application developers • Ability to adhere to enterprise frameworks, internal and external requirements, and regulatory requirements • Ability to manage stakeholder relationships and support risk management and controls

🏖️ Benefits

• Base salary of 76,290.00 - 125,260.00 USD • 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 with manager • Online learning platform • Mentoring programs • Training and onboarding sessions • Competitive benefits plan • Accommodation support for applicants with disabilities