Data Scientist II- Fair Banking and Regulatory Programs

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Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

The Fair Banking & Regulatory Programs (FBRP) is seeking talent with quantitative and analytical background to play a critical role in the risk management of Fair Banking regulations, with a focus on client fairness and discrimination testing. The Compliance Data Scientist II will serve as an independent and collaborative player of the FBRP Analytics team to test and assess compliance with ECOA, FHA, UDAAP, HMDA, and 1071 regulations.

This role will serve as the data expert on corresponding coverage areas, the key liaison with Business Unit (BU) data teams, and a core stakeholder with model development team during development activities. The Compliance Data Scientist II will also perform sophisticated analytics and develop visualizations to provide actionable insights that improve business outcomes and minimize risk, as well as providing consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.

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.

1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.

2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.

3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.

4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.

5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.

6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.

7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.

8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

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.

1. Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training

2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests

3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes

4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment

5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)

6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark

7. Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:

1. Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering

2. Fair lending or credit risk experience is preferred

3. Four years of relevant work experience if candidate lacks graduate degree

4. Previous experience in the banking or fin-tech industry

To comply with the Virginia pay transparency statue and for work location in VA only, the annual base salary for this position is $88,000-$110,000.

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.