Data Scientist II, FCRM Modeling

This is a fully remote position, open to applicants in New Jersey, +4 more states.

📋 Description

• Gather data and utilize data science methodologies, such as data wrangling, profiling, visualization, and statistical inference.

• Identify actionable insights and create analytical solutions that support decision-making and strategic planning.

• Design, maintain, and improve AML/CTF models and AI solutions.

• Assist in customer rating, sanctions screening, transaction monitoring, emerging risk assessment, model performance evaluation, analytics, and reporting efforts.

• Grasp the business context and data architecture, translating business challenges into effective data science solutions.

• Extract and prepare data, apply statistical methods and advanced analytics, and derive insights from large datasets.

• Visualize insights and convey results clearly to decision-makers and stakeholders.

• Collaborate with data and business analysts, software engineers, data engineers, and application developers to implement scalable data science solutions.

• Enhance business processes through insights, hypothesis testing, and statistical validation.

• Educate the organization about data science principles and mathematical foundations.

• Engage in cross-functional and enterprise initiatives as a subject matter expert.

• Monitor service, productivity, efficiency, risk, and governance issues, implementing remediation or continuous improvement plans.

• Cultivate relationships with business lines, corporate functions, control functions, and stakeholders.

• Stay updated on emerging issues, trends, and regulatory requirements.

• Contribute to team development, knowledge sharing, mentorship, and cross-training.

• Undertake occasional domestic travel and engage in continuous sedentary, multitasking, office-equipment, concentration, reading, writing, and arithmetic activities.

⛳️ Requirements

• Candidates must be either U.S. citizens or U.S. Lawful Permanent Residents (Green Card Holders).

• Must not require current or future TD sponsorship.

• Minimum of 3 years of relevant experience, or higher education and research tenure may be considered.

• An undergraduate degree or an advanced technical degree is preferred.

• A graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field is preferred.

• Proficiency in Python and SQL coding is required.

• Practical experience with advanced quantitative analysis, statistical modeling, and machine learning is necessary.

• Strong communication skills and the ability to present analytical results to both technical and non-technical audiences are essential.

• Experience with LLM prompt engineering and performance evaluation is advantageous.

• Familiarity with financial crime, anti-money laundering, sanctions screening, watchlist screening, or compliance risk analytics is a plus.

• Understanding of Responsible AI and model governance is beneficial.

🏝️ Benefits

• 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.

• Opportunities for career development.

• Reward and recognition programs.

• Regular discussions about career development and performance with a manager.

• Access to an online learning platform.

• Participation in mentoring programs.

• Training and onboarding sessions.

• Remote work arrangement available.