Data Scientist III – FCRM Risk Modeling

🔥 3 minutes ago

🏖️ 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.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 during client interactions • Develop, maintain, and enhance enterprise AML/CTF models and AI solutions • Support regulatory requirements and TD’s global AML/CTF strategies • Address emerging financial crime risks and support customer rating, sanctions screening, transaction monitoring, model performance monitoring, analytics, and reporting • Lead and complete complex initiatives integrating cross-functional processes • Work independently on analysis, design, and support of technical data management solutions • Manage and prioritize multiple projects and longer-range functional planning • Work with business owners to identify opportunities and serve as a data science ambassador • 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 analysts, engineers, and application developers to build scalable data science solutions • Provide analytical thought leadership and educate the organization on hypothesis testing and statistical validation • Identify risks, provide guidance, and lead remediation plans for performance, risk, and governance issues • Monitor service, productivity, efficiency, and continuous process improvements • Manage relationships across business lines and control functions • Maintain risk management and control aligned with regulatory requirements and risk appetite • Mentor others, share knowledge, and contribute to team development

🎯 Requirements

• 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 undergraduate/advanced technical degree • Strong foundation in statistics, regression, classification, machine learning models, and anomaly detection techniques • Strong numerical intuition and ability to evaluate model outputs, data quality, and performance trade-offs • Proficiency with Python and SQL • Experience in Financial Crimes / Compliance Risk Analytics is a plus • Hands-on experience with GenAI applications, including fine-tuning or prompting LLMs, is a strong plus • Ability to build analytical solutions using LLM APIs and use GenAI applications to develop data labeling solutions • Ability to work with data infrastructure, big data, and advanced analytics • Ability to collaborate with data and business analysts, software engineers, data engineers, and application developers • Ability to meet the stated physical requirements, including continuous sedentary work, sitting, concentration, reading, writing, and arithmetic

🏖️ 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 • Occasional domestic travel