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Job Summary:

Truist is a financial services company seeking a Business Information/Qliksense Developer. The role involves performing sophisticated analytics to provide actionable insights and consulting with business leaders on leveraging analytics to improve outcomes.

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.

Qualifications:

Required:

• 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:

• 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

Company:

Truist is the sixth-largest commercial bank in the U.S. Founded in 2019, the company is headquartered in Charlotte, North Carolina, USA, with a team of 10001+ employees. The company is currently Late Stage.