Data Scientist II – FCRM Modeling
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Scientist developing AML/CTF models and AI solutions for TD, a global financial institution. Applying Python, SQL, statistics, and machine learning to financial crime risk analytics.
Responsibilities:
- 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
Similar Jobs
Data Scientist Mid/Senior – Consulting
Cientista de Dados desenvolvendo modelos estatísticos e de Machine Learning para a WeCogno, consultoria de dados e IA. Gerando insights acionáveis e soluções para decisões de negócio.
Head of Data – AI
Head of Data + AI building reusable data and AI infrastructure for AugmentED. Translating education research into scalable tools that improve learning outcomes.
Program Manager, Data Governance and Stewardship
Data governance lead building frameworks for ReSource Pro’s insurance-industry clients. Improving data quality, privacy, lineage, and responsible analytics and AI use.
Senior Data Scientist
Senior Data Scientist powering product and operational analytics for Flagler Health’s musculoskeletal care platform. Measuring patient journeys, clinical workflows, engagement, and business performance.
Data Scientist, NLP, AI Engineer
Data Scientist developing production-ready LLM and generative AI applications for Ford’s enterprise technology organization. Building agentic workflows, evaluation frameworks, and scalable GCP-based machine learning solutions.
Senior Manager, Clinical Product Analytics
Senior Manager leading clinical product analytics for CVS Signify Health’s in-home and virtual evaluations. Guiding metrics, causal inference, coding integrity, and analytics strategy.
Lead Director, Data Science – Clinical AI
Lead Director guiding CVS Health’s production clinical AI strategy across healthcare businesses. Managing data science teams and advancing trustworthy, scalable machine learning using clinical data.
Marketing Strategy & Analytics Lead
Marketing Strategy & Analytics Lead advising Longbridge, a senior home-equity solutions provider. Building predictive models, attribution frameworks, and forecasts to optimize marketing investment and revenue growth.
Senior Data Scientist
Senior Data Scientist using machine learning and predictive modeling to improve team.blue’s digital services for 3.3 million European customers. Building data strategy, pipelines, and actionable insights with business, product, and engineering teams.
Senior Data Scientist
Senior Data Scientist designing geospatial, remote sensing, and environmental modeling workflows for CGS. Turning complex datasets into validated, decision-ready insights for sustainability and public-interest applications.
Cientista de Dados Sr
Cientista de Dados Sr desenvolvendo soluções de IA e modelos preditivos na Spassu. Otimizando produtos e serviços públicos com experimentos, APIs, microsserviços e pipelines de ML.
Senior Director, Research & Analytics Product Sales
Senior Director driving Clarivate’s research and analytics product sales strategy across academic and government markets. Aligning teams, operations, and revenue growth with company-wide objectives.
Data Scientist
Data Scientist supporting Guidehealth’s value-based healthcare operations through clinical data analysis, machine learning, and predictive modeling. Translating healthcare data into actionable insights for Clinical, Quality, and CDI teams.
Manager, Data Science and Analytics
Data analytics manager leading enterprise operations and customer-solution initiatives through data science and advanced analytics. Overseeing teams, models, dashboards, reporting, and strategic recommendations.
Senior Data Scientist – AI-ML, Anomaly Detection Lead
Senior Data Scientist leading explainable AI/ML anomaly detection for Chameleon’s Florida government oversight platform. Modernizing rules, validating models, and quantifying fraud, waste, and abuse risks.
Working Student Data Science
Working Student Data Science building production data pipelines and predictive models for SIXT, a global mobility services provider. Analysing real business data and supporting machine learning experiments near Munich.
Senior Data Scientist
Senior Data Scientist building pipelines, predictive models, and AI products for High 5 Games’ gaming ecosystem. Driving player engagement, monetization, and product growth through analytics and machine learning.
Data Science Lead – MLOps, Advanced Analytics
Data Science Lead architecting production ML and AI systems for Resilient Co. using Azure, Databricks, Spark, and MLOps. Leading predictive modeling, automation, deployment, and drift monitoring across enterprise data products.
Staff Data Scientist
Staff Data Scientist developing interpretable residential valuation models for True Footage’s Kelley Blue Book Home Valuations and TrueTracts platforms. Partnering with the CTO to ship production machine learning systems and shape Data Science standards.
Senior Data Scientist
Cientista de Dados Sênior sustentando modelos de IA na Vetta, empresa de digitalização industrial. Monitorando produção, resolvendo incidentes e aprimorando soluções de Machine Learning e Deep Learning.