Data Scientist III – FCRM Risk Modeling

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🏖️ New Jersey, New York, +2 more states – Remote

🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote

💵 $96.1k - $155.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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

• Provide technical leadership across the overall Analytics function • Explain complex data analysis-related material in client interactions • Develop, maintain, and enhance enterprise AML/CTF models and AI solutions • Support regulatory requirements and changes, internal policies, and TD's global AML/CTF strategies • Address emerging risks and follow industry best practices • Work across customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics, and reporting • Complete complex initiatives integrating cross-functional processes • Work independently on analysis, design, and support of technical data management solutions • Focus on longer-range planning and manage or prioritize multiple projects • Work with business owners to identify opportunities and serve as an ambassador for data science • 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 results to decision-makers and stakeholders • Collaborate with data and business analysts, software engineers, data engineers, and application developers • 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, statistical validation, and scientific principles • Participate in cross-functional and enterprise initiatives as a subject matter expert • Monitor service, productivity, and efficiency and implement process improvements • Lead or facilitate remediation plans for performance, risk, and governance issues • Manage relationships across business lines and control functions • Monitor emerging issues, trends, and regulatory requirements • Maintain a culture of risk management and control • Mentor others, share knowledge, and contribute to team development

🎯 Requirements

• U.S. citizen or U.S. Lawful Permanent Resident (Green Card Holder) • Must not require current or future TD sponsorship • Undergraduate degree or advanced technical degree preferred, such as math, physics, engineering, finance, or computer science • Graduate's degree preferred with either progressive project work experience or 5+ years of relevant experience • Higher degree education and research tenure can be counted • Strong foundation in regression, classification, machine learning models, and anomaly detection techniques • Proficiency with Python and SQL is a must • Experience in Financial Crimes / Compliance Risk Analytics is a plus • Hands-on experience with GenAI applications is a strong plus, including fine-tuning or prompting LLMs • Ability to build analytical solutions using LLM APIs and use GenAI applications to develop data labeling solutions

🏖️ Benefits

• Base salary and 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 • Domestic travel opportunities

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