Lead Data Scientist - Regulatory Reporting & Data Testing

Truist • Orlando, FL

17h • $130,000 - $140,000 • Onsite

About The Position

Perform sophisticated analytics, including statistical and predictive analytics and machine learning modeling, to provide actionable insights that improve business outcomes and minimize risk. Consult with business leaders and stakeholders on leveraging analytics insights and building analytics strategies. Lead, guide, and educate junior data scientists to support their professional growth and the successful completion of analytics initiatives.

The position is on-site five days a week, with no remote option. The role owns end-to-end data science solution design and technical delivery, partners with business and cross-functional teams to solve complex problems, promotes risk management and data governance, and advances team capabilities and standards.

Requirements

• Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training.
• Six years of related experience.
• Subject-matter expertise in one or more areas relevant to banking, financial services, fintech, quantitative risk management, or financial regulation, demonstrated through several years of career progression in roles of increasing responsibility.
• In-depth knowledge of practices, theories, and methodologies associated with the discipline, such as statistics, programming (including Python, R, or SAS), machine learning, model development, and business information visualization.
• Working knowledge of Hadoop, Pig, Hive, NoSQL, or Spark.
• Experience managing multiple projects with tight deadlines and/or leading teams.
• Able to work all scheduled hours, including overtime as directed by a manager or supervisor and required by business needs.
• Able to access and interpret client information on a computer and hear and speak with individuals in person and on the phone.
• Able to use standard office equipment, including a PC keyboard and mouse, copy/fax machines, and printers.

Nice To Haves

• Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
• Ten years of relevant work experience if the candidate lacks a graduate degree.
• Previous experience in the banking or fintech industry.
• Experience with regulatory reporting, including FFIEC 031, FR Y-9C, FR Y-14, or FR 2052a.
• Experience with data lineage and data traceability.

Responsibilities

• Perform sophisticated analytics on structured and unstructured data, including data mining, inferential statistical analysis, and predictive analytics, to identify actionable insights that improve business outcomes or reduce business risk.
• Own end-to-end data science solution design, technical delivery, and measurable business outcomes.
• Provide analytical consulting and thought leadership to business areas and foster positive strategic relationships with business partners.
• Co-design advanced data science solutions to complex business problems and create business value.
• Manage engagement in analytics initiatives, lead junior teammates, and partner with cross-functional teams.
• Learn and adopt new analytical capabilities and advance in-house solutions toward industry-leading benchmarks.
• Apply sound judgment and promote risk management throughout solution design, development, and deployment; coordinate with cross-functional teams on data usage rules, data governance, and analytics capabilities.
• Mentor and guide junior teammates, fostering an inclusive and energizing environment that supports learning, growth, and meaningful careers.
• Drive team standards and lead hiring, onboarding, and ongoing coaching of new teammates.

Benefits

• Medical, dental, and vision insurance.
• Life insurance and disability insurance.
• Accidental death and dismemberment coverage.
• Tax-preferred savings accounts.
• 401(k) plan.
• At least 10 days of vacation during the first year, prorated based on hire date and full-time or part-time status.
• 10 sick days, prorated.
• Paid holidays.
• Depending on position and division, eligibility for a defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior