Decision Scientist Iii jobs at Truist in United States, Charlotte

Regular or Temporary:

English (Required)

• Deliver highly complex solutions with significant system linkages, dependencies, associated risk.
• Lead and perform development efforts such as analysis, design, coding/creating, and testing.
• Oversee and participate in testing, implementation, maintenance, and escalated support of Truist's most complex solutions.
• Development includes but is not limited to customized coding, software integration, analysis, configuring solutions, or the use of tools pertinent to the area, project, or system to configure or generate a solution.
• Ensure adherence to company and industry standards. Provides technical consultation on extremely challenging or unusual situations.
• Write and run unit tests.
• Devise or modify procedures to solve complex problems considering computer equipment capacity and limitations, operating time, and form of desired results.
• Interpret internal/external business challenges and recommends best practices.
• Use sophisticated analytical thought to exercise judgment and identify innovative solutions.
• Mentor less experienced teammates to build technical expertise.
• Responsible for delivering high quality working software and automating manual/reusable tasks working directly, and consulting with, the business from the beginning of the design work.
• Leverage continuous engineering practices to deliver business value regarding effectiveness of the design. Actively participate in refining user stories.
• Responsible for development and developing unit testing, and supporting integration and functional testing.
• Responsible for providing warranty support and providing knowledge transfer to production support.
• Develop code in accordance with the acceptance criteria established by the Product Owner.

Requirements

• Must have Bachelor's degree in Computer Science, Computer Engineering, Electrical/Electronics Engineering or related technical field
• Must have 6 years of progressive experience in software engineering or IT consulting positions performing the following:
o Data engineering, with a focus on ETL processes and integration.
o Working with Informatica PowerCenter for ETL development and data pipeline orchestration OR AWS Glue for building, automating and managing ETL pipelines in a cloud environment.
o Designing and developing data pipelines and data workflows for large-scale data systems.
o Developing data transformations, data loading mechanisms, and managing data integration at scale.
o Data warehousing, dimensional modeling and designing ETL architectures for large-scale data systems.
o Supporting Production apps to fix mission critical production issues, enhance the applications to implement additional features.
o Applying broad functional knowledge in requirement gathering, analysis, design, development, testing, implementation, and deployment of applications.
o Planning and managing projects and solving complex problems by applying best practice
o Providing direction and mentoring less experienced teammates.
o Proficiency in programming/scripting languages, including Python, Scala and SQL for ETL scripting and automation.
o Relational databases, including MySQL or Microsoft SQL Server
o Applying knowledge of data storage techniques.
o Working with GIT or other version control systems
o CI/CD pipeline tools for automated deployment of ETL processes.

• Position may be eligible to work in a hybrid remote model and is based out of and reports to Truist offices in Charlotte, NC. Applicants must be able to work onsite at Truist offices in Charlotte, NC at least 4 days per week.

Regular or Temporary:

English (Required)

• Act as an individual contributor supporting analytics projects and executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, will work both independently and with internal teammates to produce analytic insights that help the Line of Business (LOB) make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.
• Focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
• Partner on target initiatives as assigned; work independently and with internal teammates to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
• Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
• Explore and apply tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
• Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
• Foster communication and partnership across multiple levels of the organization including engagement with LOB contributors and junior-level managers.

Requirements

• Must have a Bachelor’s degree in Data Science, Analytics, Computer Science, Information Systems, or related analytic field plus 7 years of progressive experience in data analyst or research positions performing/utilizing the following:
o Performing quantitative analysis and data analytics
o Statistical methods, including a broad understanding of classical statistics, probability theory, time-series, and primary statistical tests
o Data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment.
o Data Analysis techniques, EDA, Data Visualization to effectively communicate to stakeholders, clarify requirements and make effective suggestions.
o Data Engineering to effectively extract, transform, load the data and for further model deployment, including model maintenance and operation.
o Natural Language Processing techniques
o Utilizing experience with: SQL, Teradata, Hadoop, SAS, Python, R, SAS E-Miner, Tableau, Oracle, Azure, Excel, PowerPoint, and Word.

• In the alternative, employer will accept a Master’s degree in Data Science, Analytics, Computer Science, Information Systems, or related analytic field plus 5 years of experience in data analyst or research positions performing/utilizing the aforementioned.

• Must have at least 2 years of decision science/analytics project management experience with a diverse project focus and demonstrated results, including:

• Performing cross-functionally and collaboratively, focused on supporting business partners with enhanced insights

• Engaging and supporting internal business partners, product sets, and projects, connecting insights with execution and business impact

• Providing leadership on target initiatives
• Managing multiple projects with tight deadlines in a collaborative environment to drive maximum impact

• Position may be eligible to work hybrid/remotely but is based out of and reports to Truist offices in Charlotte, NC. Must be available to travel to Charlotte, NC regularly for meetings and reviews with manager and project teams within 24-hours’ notice.

Regular or Temporary:

English (Required)

• Deliver highly complex solutions with significant system linkages, dependencies, associated risk.
• Lead and perform development efforts such as analysis, design, coding/creating, and testing.
• Oversee and participate in testing, implementation, maintenance, and escalated support of Truist's most complex solutions.
• Development includes but is not limited to customized coding, software integration, analysis, configuring solutions, or the use of tools pertinent to the area, project, or system to configure or generate a solution.
• Ensure adherence to company and industry standards. Provides technical consultation on extremely challenging or unusual situations.
• Write and run unit tests.
• Devise or modify procedures to solve complex problems considering computer equipment capacity and limitations, operating time, and form of desired results.
• Interpret internal/external business challenges and recommend best practices.
• Use sophisticated analytical thought to exercise judgment and identify innovative solutions.
• Mentor less experienced teammates to build technical expertise.
• Responsible for delivering high quality working software and automating manual/reusable tasks working directly, and consulting with, the business from the beginning of the design work.
• Leverage continuous engineering practices to deliver business value regarding effectiveness of the design. Actively participate in refining user stories.
• Responsible for development and developing unit testing, and supporting integration and functional testing.
• Responsible for providing warranty support and providing knowledge transfer to production support.
• Develop code in accordance with the acceptance criteria established by the Product Owner.

Requirements

• Must have Bachelor's degree in Computer Science, CIS, Computer Engineering, or related technical field plus 6 years of progressive experience in software engineering or IT consulting positions.

• Must have at least 3 years of experience with the following:
o Supporting Production apps to fix mission critical production issues, enhance the applications to implement additional features.
o Working with CI/CD tools and technologies like Gitlab, Github, SourceTree and Bitbucket to deliver code to production environments.
o Helping project architects and senior project leads in high level project design, low level design.
o Applying broad functional knowledge in requirement gathering, analysis, design, development, testing, implementation, and deployment of applications.
o Planning and managing projects and solving complex problems by applying best practice.
o Providing direction and mentoring less experienced teammates.
o Utilizing experience with: Spring, Java and J2EE, Restful API, Soap API, Agile, Rally, Jira, Jenkins, GitHub, GitLab, SVN, IBM MQ’s, Apache Kafka, Microservices, Windows/Linux/RHEL, Apache Maven, SQL DB, Confluence, OpTier, Splunk, XML, ServiceNow, JSON, SSL/TLS, Google Cloud Platform (GCP), Kubernetes, Docker, and Eclipse

• Position may be eligible to work hybrid/remotely but is based out of and reports to Truist offices in Charlotte, NC. Must be available to travel to Charlotte, NC regularly for meetings and reviews with manager and project teams within 24-hours’ notice.

Regular or Temporary:

English (Required)

• Act as an individual contributor supporting analytics projects and executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, will work both independently and with internal teammates to produce analytic insights that help the Line of Business (LOB) make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.
• Focus on high impact, visible analyses, and initiatives across multiple business models, covering banking channels, segments, and products.
• Partner on target initiatives as assigned; work independently and with internal teammates to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
• Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
• Explore and apply tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
• Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
• Foster communication and partnership across multiple levels of the organization including engagement with LOB contributors and junior-level managers.

Requirements

• Must have a Bachelor’s degree in Data Science, Analytics, Statistics or related analytic field plus 5 years of progressive experience in quantitative analyst or research positions performing/utilizing the following:
o Performing quantitative analysis and data analytics
o Statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
o Linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components.
o Data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment.
o Data Analysis techniques, EDA, Data Visualization to effectively communicate to stakeholders, clarify requirements and make effective suggestions.
o Data Engineering and ML-Ops to both effectively extract, transform, load the data and for further model deployment, including model maintenance and operation.
o Natural Language Processing techniques and other related Deep Learning knowledge.
o Building and managing interactive dashboards in Adobe Analytics workspace to deliver actionable insights, address ad hoc marketing requests, and improve reporting efficiency through advanced segmentation and custom metrics.
o Utilizing experience with: SQL, SAS, Python, R, SAS E-Miner, Tableau, Qlik, IBM DB2, Oracle, and Hue.

• In the alternative, employer will accept a Master’s degree in Data Science, Analytics, Statistics or related analytic field plus 3 years of experience in quantitative analyst or research positions performing/utilizing the aforementioned.

• Must have at least 2 years of decision science/analytics project management experience with a diverse project focus and demonstrated results.

• Position may be eligible to work hybrid/remotely but is based out of and reports to Truist offices in Charlotte, NC. Must be available to travel to Charlotte, NC regularly for meetings and reviews with manager and project teams within 24-hours’ notice.

Regular or Temporary:

English (Required)

Please note that candidate must be located in *or* willing to self-relocate to the following location:

• Charlotte, NC

Truist 'in office' requirement isper week. No full remote or relocation assistance available at this time.

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.
1. Highly-experienced expert job that applies in-depth and specialized expertise and/or a significant breadth of expertise in own professional discipline and other related disciplines.
2. Interprets internal/external business challenges and recommends best practices to improve products, processes, or services.
3. Applies a comprehensive understanding of how the organization operates to solve technical, operational, and business problems.
4. Uses sophisticated analytical thought to exercise judgment and identify innovative solutions.
5. Leads teams or projects with moderate resource requirements, risk, and complexity, often with implications and/or resource requirements beyond own LOB or function.
6. Mentors less experienced teammates to build their own technical expertise.
7. Impacts the achievement of client, operational, project, service, and risk management objectives.
8. May have people management responsibilities.
9. Works independently, with guidance in only the most complex situations.
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor's degree and 5+ years of related experience or an equivalent combination of education and experience.

2. Deep specialized and/or broad knowledge within a professional discipline.

3. Sound and comprehensive understanding of business and organizational strategies and processes.

4. Ability to interpret internal and external business challenges and implement best practices to improve products, processes, or services.

5. Ability to lead projects of significant complexity and risk exposure.

6. Ability to exercise judgment in solving technical, operational, and organizational challenges in the context of business objectives and priorities.

7. Sophisticated analytical skills and the ability to solve complex technical and business problems.

8. Ability to influence others to adopt a new perspective (new automation, new metrics, new tools etc.) Focus on process automation to improve efficiency.

9. Knowledge of the industry's competitive landscape and an understanding of the market and regulatory factors that shape the industry.

Preferred Qualifications:

• Advanced proficiency in Python for data extraction, manipulation, and visualization

• Ability to gather and construct Data requirements to support automation of reporting

• Experience with visualization tools such as Tableau or Power BI

• Proven working experience as a data analyst or business data analyst

• Experience managing stakeholder expectations and communicating effectively with diverse audiences

• Previous experience in the banking or fin-tech industry

Regular or Temporary:

English (Required)

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.
3. Foster communication and partnership across multiple levels of the organization including engagement with LOB leaders and senior managers. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals.5. Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
6. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills
2. Bachelor’s degree or equivalent education and 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience
3. 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
4. Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
5. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact
6. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
7. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact
8. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness
9. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

1. Master’s or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
3. 2+ years of analytics management experience with a diverse project focus and demonstrated results

Regular or Temporary:

English (Required)

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.

• Provide independent risk oversight for all eight risk types in FTS Fraud Solution Services. Oversee risk appetite and business risk strategy ensuring adherence to defined limits. Effort includes risk identification and prioritization of current and emerging risks.

• Responsible for identifying, assessing, and reporting on risk in assigned business units in order to assist the FTS Fraud Solution Services in achieving its strategic objectives. Ensure business unit operates in compliance with applicable laws, regulations, policies, procedures and within Risk Appetite. Provide subject matter expert support to front line for control implementation, risk mitigation and effective design of controls.

• Responsible for providing expert risk management direction and oversight to applicable business unit senior leadership on all key risk initiatives and functions. Guide risk-taking behaviors for assigned business units; provide counsel, advice, and concurrence to senior business unit leaders to drive needed risk enhancements or remediation. Advocate Truist’s risk culture, compliance with enterprise risk initiatives and promote sound risk management practices by assigned business units.

• Oversee strategic efforts to identify report, prioritize, and manage risks and/or control deficiencies, including emerging risks and risks/controls that span multiple business units. Accountabilities include serving as a subject matter expert for assigned business units, including strong awareness of internal and external risks, industry best practices, current and emerging technologies, business unit(s) regulation and requirements, and corrective action processes.

• Aggregate, integrate, correlate, and report risks for assigned business unit(s) to Governance & Control Office and/or applicable risk committees. Provide holistic view on issues and remediation across business unit(s). Provide connectivity between assigned business unit(s) and other lines of defense functions as appropriate developing and maintaining effective communication with leaders and horizontal support functions within the BURM organization.

• Provide forward-looking guidance and thought leadership around data-driven and/or technology-based solutions that can improve efficiency, effectiveness and decrease risk. Partner with applicable second line of defense groups to ensure technology risks are appropriately managed.

• Oversee effective operationalization of a Risk Control Self-Assessment Program, Key Indicator and other Business Environment and Internal Control Factors by assigned business units; provide consultative guidance and effective challenge as necessary.

• Ensure new or revised business unit product offerings are consistent with Truist’s risk appetite, including adherence to Enterprise Change Risk Management requirements.

• Oversee the results of monitoring, control test and quality assurance functions for potential breaches and/or systemic themes; ensure escalation and timely remediation. Provide direction and guidance in the development of controls and governance mechanisms by assigned business units.

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Bachelor’s degree in Accounting, Business, Finance, Economics or an equivalent combination of education and work experience.

• 8+ years progressive work related experience including audit, consulting, operations, process engineering, or risk management in the financial services industry.

• 5+ years supervisory or management level experience.

• Strong communication, interpersonal and negotiation skills.

• Strong knowledge of operational and other non-financial risks.

• Proven leadership and management skills.

• Excellent time management and organizational skills with the ability to operate without close supervision.

• Capability of handling multiple project concurrently.

Preferred Qualifications:

• Master’s degree in Finance or Business, or equivalent education and related training

• 10+ years of banking or relevant experience

• Direct experience or strong knowledge in field of fraud prevention, detection, mitigation, risk management, and/or related fields.

• Audit experience