Lead Data Scientist - Regulatory Reporting & Data Testing

Truist Financial Corporation; Florida; On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401k and matching

Paid vacation & holidays

Job summary

Truist in the United States seeks a senior data scientist to perform sophisticated analytics, build predictive models, and translate insights into actionable business strategies. You will mentor junior team members and partner with stakeholders to drive risk-aware decisions.

The role emphasizes end-to-end solution delivery, data governance, and cross-functional collaboration. On-site 5 days a week in Florida with competitive benefits.

Qualifications

• Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, CS, or Engineering
• Six years of related experience
• Demonstrate domain expertise in banking/financial services, fintech, risk management or regulation
• Proficiency in statistics, programming (Python, R, SAS), machine learning and model development
• Knowledge of Hadoop, Pig, Hive, NoSQL, Spark
• Experience managing multiple projects and leading teams

Responsibilities

• Perform sophisticated data analytics on structured and unstructured data to extract actionable insights
• Own end-to-end data science solution design, delivery, and measurable business outcomes
• Provide analytical consulting and thought leadership to business areas
• Co-design optimal solutions to complex problems using advanced data science capabilities
• Lead and mentor junior teammates and collaborate with cross-functional teams
• Advance home-grown analytics solutions toward industry benchmarks
• Support risk management through governance and cross-team coordination
• Drive hiring, onboarding and setting team standards

Skills

Analytics

Python

R

SAS

Machine learning

Distributed systems

Team leadership

Education

Bachelor’s degree in quantitative field

Master’s degree or PhD (preferred)

Tools

Hadoop

Pig

Hive

NoSQL

Spark

Job description

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary: Regular

Language Fluency: English (Required)

Work Shift: 1st shift (United States of America)

Please review the following job description:

Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead, guide and educate junior data scientists in the team to enable personal and professional growth as well as help in successful conclusion of various analytics initiatives across the team.

This position will sit on-site 5 days a week. No remote option available.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

• Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.
• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
• Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
• Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value.
• Manage engagement in various analytics initiatives across the team, lead junior teammates, and partner with cross-functional teams.
• Act first to learn and adopt new analytical capabilities and keeps advancing home-grown solutions towards industry leading benchmark.
• Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partners with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities; help with overall risk management for the team.
• Actively mentor and guide junior teammates in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers.
• Drive overall team standards and take a leading role in hiring, onboarding and continuously coaching new teammates.

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 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
• Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility
• In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc.
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
• Experience in managing multiple projects with tight deadlines and/or leading teams

Preferred Qualifications:

• 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 candidate lacks graduate degree
• Previous experience in the banking or fin-tech industry
• Regulatory Reporting (FFIEC 031, FR Y-9C, FR Y-14, FR 2052a)
• Data Lineage & Data Traceability

To comply with the Virginia pay transparency statute and for work locations in Virginia only, the annual base salary for this position is $130,000-$140,000.

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting
Constantly (More than 50% of the time)

Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.

Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.

Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.

Travel
Minimal and up to 10%

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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