Data Scientist III

Perform technical and analytic tasks (statistical and predictive analytics, historical analytics and modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk. Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead large and small projects across multiple business groups within fraud and product team with manageable risks and resource requirements.

Essential Duties And 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. Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices, focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation.
• 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.
• Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.

Qualifications

Required Qualifications:

• Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
• 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
• 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 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
• Ten years of relevant work experience if candidate lacks graduate degree
• Previous experience in the banking or fin-tech industry
• Experience working with data science workspace within Adobe Enterprise Platform
• Experience working with Graph Databases, graph query language, and related algorithms

Additional Job Description:

• Experience with working and implementing rules in a dedicated rules engine system with attention to detail and change management process.
• 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
• 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

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. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify