Data Scientist - FCRM

TD • Lexington, SC

17h • $96,130 - $155,950 • Onsite

About The Position

The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. This position will be responsible for creating, developing, and maintaining a range of AML typologies, leveraging analytics to proactively identify and mitigate financial crime risks. The role involves close collaboration with cross-functional teams, supporting Financial Intelligence Units (FIU) through targeted data analysis, and contributing to strategic initiatives that strengthen our AML efforts across the organization. The individual will oversee the successful execution of multiple projects, ensuring they are completed within established timelines and providing a second level of oversight throughout. Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks are essential for this position, and familiarity with both generative and agentic AI is highly valuable as we continue to advance our analytics capabilities. Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability. Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels. Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes. Position typically deals with senior/executive management. Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size. Focuses on longer-range planning for functional area (e.g. 12 months or greater). May manage and prioritize multiple projects at a given time.

Requirements

• Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks are essential.
• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science).
• Graduate's degree preferred with either progressive project work experience or 5+ year of relevant experience; higher degree education and research tenure can be counted.
• Experience in Financial Crimes / Compliance Risk Analytics field.
• Experience in generating data and analytics insights and assisting financial institutions with addressing the efficiency and effectiveness of transaction monitoring systems.
• Experience with data transformation, ETL, and combining data from multiple sources to create analytics reports.
• Hands-on experience developing, validating, and deploying machine learning models.
• Experience with Microsoft Azure, Python, SQL, and Databricks.
• Is familiar with the business context and data infrastructure.
• Uses a wide range of programming languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
• Participates in personal performance management and development activities, including cross training within own team.
• Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities.
• Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• Contributes to a fair, positive and equitable environment that supports a diverse workforce.
• Performing sedentary work – Continuous
• Performing multiple tasks – Continuous
• Operating standard office equipment - Continuous
• Sitting – Continuous
• Concentrating for long periods of time – Continuous
• Applying common sense to deal with problems involving standardized situations – Continuous
• Reading, writing and comprehending instructions – Continuous
• Adding, subtracting, multiplying and dividing – Continuous

Nice To Haves

• Familiarity with both generative and agentic AI is highly valuable.

Responsibilities

• Creating, developing, and maintaining a range of AML typologies.
• Leveraging analytics to proactively identify and mitigate financial crime risks.
• Close collaboration with cross-functional teams.
• Supporting Financial Intelligence Units (FIU) through targeted data analysis.
• Contributing to strategic initiatives that strengthen AML efforts across the organization.
• Overseeing the successful execution of multiple projects, ensuring they are completed within established timelines.
• Providing a second level of oversight throughout projects.
• Works closely with business owners to identify opportunities and serves as an ambassador for data science.
• Translates business problems to viable data science solutions.
• Uses a wide range of programming languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
• Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
• Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business.
• Analytical thought leadership and stays current on developments in data mining and the application of data science.
• Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency.
• Educates the organization on approaches, such as testing hypotheses and statistical validation of results.
• Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment.
• Translates up to date information into continuous improvement activities that enhances performance.
• Adheres to enterprise frameworks or methodologies that relate to activities for business area.
• Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities.
• Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations.
• Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist.
• Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues.
• Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements.
• Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts.
• Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite.
• Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest.
• Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit.
• Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques.
• Participates in personal performance management and development activities, including cross training within own team.
• Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities.
• Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships.
• Contributes to a fair, positive and equitable environment that supports a diverse workforce.
• Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally.

Benefits

• Base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan)
• 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
• Training programs
• Competitive benefits plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree