Data Scientist III – FCRM

This is a fully remote position, open to applicants in Florida, +6 more states.

📋 Description

• Offer technical guidance throughout the Analytics division

• Develop, implement, and sustain AML typologies

• Utilize analytics to proactively detect and mitigate risks associated with financial crime

• Collaborate with diverse teams and assist Financial Intelligence Units via specialized data analysis

• Contribute to strategic initiatives that enhance AML efforts organization-wide

• Supervise the execution of various projects adhering to set timelines

• Provide secondary oversight for projects

• Partner with business owners to uncover opportunities and act as a data science advocate

• Grasp business contexts and data frameworks, translating business challenges into data science solutions

• Extract and prepare data utilizing programming languages like Python

• Implement statistics and advanced analytics to glean insights from large datasets

• Visualize data findings and convey results to decision-makers and stakeholders

• Work alongside analysts, engineers, and developers to create scalable and sustainable data science solutions

• Offer analytical thought leadership while remaining updated on developments in data mining and data science

• Enhance business processes through insights derived from data

• Educate the organization on hypothesis testing and statistical validation

• Support continuous improvement, risk management, governance, and remediation efforts

• Maintain relationships across various business lines, corporate functions, and control functions

• Keep track of emerging issues, trends, and regulatory requirements

• Foster a culture of risk management and control

• Engage in knowledge transfer, mentoring, team development, and cross-functional initiatives

• Ensure stakeholders are updated on project progress and pertinent daily information

⛳️ Requirements

• Candidates must be either a U.S. citizen or a U.S. Lawful Permanent Resident (Green Card Holder)

• Must not necessitate current or future TD sponsorship

• 5+ years of relevant experience, or progressive project work experience, accompanied by a preferred degree

• An undergraduate or advanced technical degree is preferred, such as in math, physics, engineering, finance, or computer science

• A graduate degree is preferred

• Experience in Financial Crimes / Compliance Risk Analytics

• Proven track record in generating data and analytics insights and improving transaction monitoring system efficiency and effectiveness

• Expertise in data transformation, ETL, and integrating data from various sources

• Practical experience in developing, validating, and deploying machine learning models

• Familiarity with Microsoft Azure, Python, SQL, and Databricks

• Experience with generative and agentic AI

• Knowledge in data mining, statistics, advanced analytics, and data science methodologies

• Capability to convert business challenges into actionable data science solutions

• Skill in visualizing insights and articulating results to both technical and non-technical audiences

• Ability to collaborate with data and business analysts, software engineers, data engineers, and application developers

• Competence to work independently on technical data management solutions

• Capacity to manage and prioritize multiple projects

• Willingness to travel domestically on occasion

• U.S. work authorization without the need for current or future visa sponsorship

🏝️ 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

• Career development opportunities

• Reward and recognition programs

• Regular career development and performance discussions

• Access to an online learning platform

• Mentoring programs

• Comprehensive training and onboarding sessions

• Flexible remote work options

• Occasional domestic travel