Data Scientist II - Fraud Reporting

Truist Financial Corporation

Charlotte (NC)

On-site

USD 120,000 - 180,000

Full time

7 hours ago
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Job summary

Truist Financial Corporation in Charlotte, NC is seeking a data science professional to perform sophisticated analytics, including econometrics, machine learning, and NLP, to provide actionable insights for business outcomes and risk minimization.

You will communicate findings through compelling visualizations, own end-to-end analytics solutions, collaborate with stakeholders, and write production code in Python, SAS, or R. This is an on-site role requiring in-office work five days a week.

Qualifications

  • Bachelor’s degree and four or more years in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
  • Understanding of statistical methods including econometrics, time-series, and primary statistical tests.
  • Familiarity with linear algebra concepts for optimization and calculus/differential equations.
  • Data cleansing and preparation methodologies including regex, filtering, indexing, interpolation, and outlier treatment.
  • Strong familiarity with data extraction in environments (SQL, JQuery).
  • Working knowledge of Hadoop, Pig, Hive, NoSQL, Spark.
  • Experience managing multiple projects with tight deadlines in a collaborative environment.

Responsibilities

  • Independently perform sophisticated data analytics (econometrics to machine learning) on structured and unstructured data.
  • Produce compelling data visualizations to communicate insights to stakeholders.
  • Own end-to-end data science solution design, delivery, and measurable business outcomes.
  • Engage with stakeholders to identify objectives and scope requirements.
  • Write, document, and deploy code in Python, SAS, R to create predictive analytics apps.
  • Collaborate via internal code repositories to share learning and skills.
  • Research and advocate emerging methods and technologies to advance capabilities.
  • Ensure risk management and governance in design, development, and deployment.

Skills

Statistics understanding
Data cleansing
Data extraction
Hadoop/Spark
NoSQL
SQL
Team collaboration

Education

Bachelor’s degree in a quantitative field
Master’s or PhD preferred

Tools

SQL
JQuery
Hadoop
Pig
Hive
NoSQL
Spark

Job description

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. This includes, but is not limited to:
  • H-1B,
  • F-1 OPT
  • F-1 STEM OPT
  • F-1 CPT
  • J-1
  • TN-1
  • TN-2
  • E-3
  • O-1
  • Future sponsorship for U.S. lawful permanent residence

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:
  • 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. 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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