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, to reveal actionable insights and create analytics solutions.

• Facilitate decision-making and strategic planning through data science initiatives.

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

• Assist with AML/CTF strategies, regulatory compliance, internal policies, initiatives for emerging risks, and adherence to industry best practices.

• Collaborate on customer rating, sanctions screening, transaction monitoring, emerging risk assessment, model performance oversight, analytics, and reporting.

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

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

• Visualize findings and relay analytical results to both technical and non-technical stakeholders.

• Work alongside 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 on the principles of data science and its mathematical foundations.

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

• Monitor service levels, productivity, efficiency, performance, risk, and governance, implementing improvement or remediation plans where necessary.

• Foster relationships across various business lines, corporate functions, and control functions.

• Observe emerging issues, trends, and regulatory developments, assessing their impacts.

• Keep stakeholders updated on project advancements and relevant daily information.

• Contribute to team development through mentorship, knowledge sharing, and best practices.

• Uphold a risk management and control culture that aligns with the organization's risk appetite.

⛳️ Requirements

• Candidates must be either a US Citizen or possess a US Resident Green Card authorization.

• Must not currently require or anticipate needing TD sponsorship in the future.

• An undergraduate degree or advanced technical degree is preferred; a graduate degree is highly favored.

• A minimum of 3 years of relevant experience, or progressive project work experience in conjunction with a graduate degree.

• Advanced education and research tenure can be counted as experience.

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

• Academic research experience may be deemed equivalent to industry experience.

• Proficiency in Python and SQL programming is required.

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

• Strong communication skills with the ability to convey analytical findings to both technical and non-technical audiences.

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

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

• Familiarity with Responsible AI and model governance is a plus.

• Capable of working independently within a specialized business management function.

• Competence in completing complex projects and initiatives that require specialized knowledge or cross-functional integration.

• Ability to perform end-to-end tasks effectively.

• Understanding of business context, data infrastructure, and business requirements is essential.

• Capacity to collaborate with analysts, engineers, and application developers.

• Ability to comply with enterprise frameworks, internal and external requirements, and regulatory standards.

• Proficient in managing stakeholder relationships and supporting risk management and controls.

🏝️ Benefits

• Base salary ranging from 76,290.00 to 125,260.00 USD.

• Variable compensation and 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.

• Recognition and rewards program.

• Regular discussions regarding career development and performance with management.

• Access to an online learning platform.

• Mentorship programs available.

• Training and onboarding sessions provided.

• Competitive benefits package.

• Accommodation support for applicants with disabilities.