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Truist is looking to leverage advanced data analytics to improve business outcomes and minimize risk within their fraud and product teams. The role aims to provide actionable insights and strategic consultation to business leaders by performing sophisticated data analysis and developing data science solutions.

Requirements

• In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc.
• Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
• Experience with working and implementing rules in a dedicated rules engine system with attention to detail and change management process.
• In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as SAS, SQL Python, R, Tableau, etc.) model development, business information visualization, etc
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark. Especially Proficient in MySQL, SAS and Tableau
• Preferably working knowledge of TSYS rules engine or similar rules engine

Responsibilities

• Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data.
• Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.
• Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
• Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences.
• Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
• Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value.
• 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; help with the overall risk management for the team.

Other

• Minimum of six years of related experience
• Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility
• Experience in managing multiple projects with tight deadlines in a collaborative environment
• Able to work in a fast-paced environment while being able to multi-task and maintain a high level of accuracy and quality of work
• English (Required)