Wealth Data & Analytics Data Scientist

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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:

Reporting to the Data & Analytics Manager, the Data Scientist is accountable for providing data analytics to Truist Wealth, across the full suite of products and client experience. While working with Sr. Data Scientist and the Data Scientist Team Leader the primary focus areas include portfolio, scenario, and strategic analysis, and ad-hoc Executive analytics. Other focus areas include marketing campaign response, evaluating success of strategic initiatives, account acquisition and management, delinquency and default, overall portfolio asset quality, and portfolio acquisitions and divestitures.

Please Note: This role can be based in Charlotte or Atlanta.

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.

• Translate business opportunities into data science problems by defining project scope and performance metrics to measure success

• Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) utilizing internal and external data

• Work with Sr. Data Scientist and Data Scientist Team Leader to identify actionable insights that measurably improve business outcomes or reduces business risk through complex analysis that results in successfully presenting findings to key stakeholder

• Work with Sr. Data Scientist and Data Scientist Team Leader to story tell with data by creating clear, concise, and relevant presentations that leverage data visualization tools to highlight and communicate opportunity to business stakeholders

• Collect and prepare data for reporting, analysis, and ad hoc request which encompasses exploratory to advanced predictive and/or modeling analytics to identify data relationships, patterns, and trends.

• Collaborate and partner with teammates in Wealth Data and Analytics, EDO, Technology, and other business specific D&A teams to build best in class approaches to solve business and analytical problems, share best practices, and cross pollinate data knowledge

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 related Mathematics, Statistics, Econometrics, Actuarial Science, Computer science, Engineering, or finance

• 3-5 years of relevant financial services, data & analytics experience, and experience developing statistics and machine learning models

• Strong verbal and written communication skills.

• Ability to communicate technical details at a level appropriate for the audience Attention to detail and a sense of ownership for deliverables.

• Ability to perform and deliver under very demanding and/or ambiguous situations Moderate reporting and automation experience leveraging BI and analytics applications

• Demonstrated problem solving skills and proven ability to perform and deliver under very demanding and/or ambiguous situations

• Demonstrated technical proficiency in one or more of the following languages SAS (base, enterprise guide or enterprise miner) and/or R/Python while working on projects to Probability and Statistics, Finance (financial ratios, interest rates, yield curve), or data mining.

• Hands-on experience working with large databases and deep understanding of one or many of the following: Decision trees, Linear and Nonlinear regressions, neural nets, ensembles, Market Basket analysis, Time series forecasting, deep learning, text mining and various model assessment & performance metrics

Preferred Qualifications:

• Master's degree in business and/or a quantitative field related Mathematics, Statistics, Econometrics, Actuarial Science, Computer science, or Engineering

• Experience with big data technology (Hadoop, Hive, Spark, etc.) and data processing pipeline.

• Back ground within Wealth Management

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 supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals 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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