Lead Data Scientist – Regulatory Reporting, Data Testing

Truist

. Perform sophisticated analytics, including data mining, inferential statistical analysis, predictive analytics, and machine learning modeling, on structured and unstructured data .

Posted 11/6/2026full-timeUnited StatesSenior💰 $130,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics, including predictive analytics and machine learning, with a strong focus on delivering actionable insights that enhance business outcomes. Proven ability to manage analytics initiatives, mentor teams, and collaborate across functions while adhering to data governance and risk management standards.

Highest-signal resume keywords

Data AnalyticsMachine LearningPython ProgrammingStatistical AnalysisTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningPredictive AnalyticsModel DevelopmentBusiness Information VisualizationStatistics

Soft Skills

Analytical ConsultationMentoringCollaborationThought Leadership

Tools & Technologies

HadoopSparkNoSQLPigHive

Industry Keywords

BankingFinancial ServicesFintechQuantitative Risk ManagementFinancial Regulation

Tech Stack

Tools & technologies

HadoopNoSQLPythonSpark

About the role

Key responsibilities & impact

Perform sophisticated analytics, including data mining, inferential statistical analysis, predictive analytics, and machine learning modeling, on structured and unstructured data
Identify actionable insights that improve business outcomes or reduce business risk
Provide analytical consultation and thought leadership to business areas and stakeholders
Design and deliver end-to-end data science solutions with measurable business outcomes
Co-design advanced data science solutions for complex business problems
Manage analytics initiatives, lead junior teammates, and partner with cross-functional teams
Adopt new analytical capabilities and advance internal solutions toward industry-leading benchmarks
Support data usage rules, data governance, analytics capabilities, and team risk management
Mentor and guide junior teammates
Drive team standards and participate in hiring, onboarding, and coaching new teammates

Requirements

What you’ll need

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
Domain expertise in banking, financial services, fintech, quantitative risk management, and/or financial regulation
In-depth knowledge of statistics, programming such as Python, R, or SAS, machine learning, model development, and business information visualization
Working knowledge of Hadoop, Pig, Hive, NoSQL, and/or Spark
Experience managing multiple projects with tight deadlines and/or leading teams
Ability to work all scheduled hours, including overtime as directed and required by business need
Minimal travel, up to 10%
English language fluency required
Preferred: Master’s degree or PhD in a quantitative field
Preferred: Ten years of relevant work experience if candidate lacks a graduate degree
Preferred: Previous banking or fintech industry experience
Preferred: Regulatory Reporting, including FFIEC 031, FR Y-9C, FR Y-14, and FR 2052a
Preferred: Data Lineage and Data Traceability

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Accidental death and dismemberment coverage
Tax-preferred savings accounts
401(k) plan
At least 10 days of vacation during the first year of employment, prorated
10 sick days, prorated
Paid holidays
Defined benefit pension plan, depending on position and division
Restricted stock units, depending on position and division
Deferred compensation plan, depending on position and division