Data Scientist II - Fraud Reporting

Truist; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

Disability

401k plan

Pension plan

Job summary

Truist is seeking a highly skilled Data Scientist for an on-site role in Charlotte, NC. You will perform advanced analytics ranging from econometrics to ML, producing actionable insights for business and risk reduction.

You will consult with leaders and stakeholders on how to leverage analytics effectively. The position requires 4+ years in a quantitative field, strong statistical knowledge, and hands-on coding in Python/SAS/R.

Qualifications

• Bachelor's degree and 4+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
• 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
• Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
• Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
• Experience in managing multiple projects with tight deadlines in a collaborative environment

Responsibilities

• 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
• Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders
• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome
• Engage in stakeholder meetings to identify business objectives and scope solution requirements
• Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications
• Use, maintain and share code repositories to foster learning and cross-pollination of skillsets
• Actively research and advocate adoption of emerging methods and technologies in the data science field
• Exercise sound judgment and foster risk management culture throughout design, development and deployment practices

Skills

Statistical methods

Data visualization

Stakeholder communication

Project management

Python

SQL

Education

Bachelor's degree in a quantitative field

Master's degree or PhD (preferred)

Tools

Python

SAS

R

SQL

JQuery

Hadoop

Hive

Spark

NoSQL

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.

For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

This is a fully on-site position based in Charlotte, NC. Teammates are expected to be in the office five days a week.

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.

• 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.
• Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
• Engage in stakeholder meetings to identify business objectives and scope solution requirements.
• Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
• Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
• Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.
• 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.

Required Qualifications:

• 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
• Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
• 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
• Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
• Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
• Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:

• Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
• Four years of relevant work experience if candidate lacks graduate degree
• Previous experience in the banking or fin-tech industry

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.

• medical
• dental
• vision
• life insurance
• disability
• accidental death and dismemberment
• tax-preferred savings accounts
• 401k plan
• 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment
• 10 sick days (also prorated)
• paid holidays
• defined benefit pension plan
• restricted stock units
• deferred compensation plan

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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