Risk Automation, Data Analytics, & Reporting Analyst, Sr. (Hybrid)

Job Summary

The Risk Analytics, Automation, and Reporting Analyst Senior role seeks ways of applying technology and analytics to business processes for streamlining/automation, data driven sampling, risk monitoring, and data visualization. This role provides specialized expertise and guidance on assessing risks, identifying potential gaps and providing solutions to mitigate, monitor, and/or report on risks to protect the organization. This role participates in projects of moderate to high complexity and provides complex reporting, analysis, and assessments at the functional, business line or enterprise level. This role will work closely with team members across Credit Review, BSA/AML, Consumer Compliance, Enterprise Risk, Operational Risk, and Non-Credit Financial Risk, to identify, prioritize, and execute analytics, automation, and reporting opportunities across the Risk Management Division by maintaining an effective working relationship with software and outsourced vendors, testing and coordinating the implementation of new releases or system enhancement installations, identifying and correcting system related errors, and responding to special customer reporting needs. This role also serves as a back up to peers.

Job Duties And Responsibilities

• Utilizes advanced data extraction and data analytics tools to assist testing teams (Credit Review, Compliance, Operational Risk, etc) to test 100% of populations or take a more data driven approach to sampling. Uses extraction and analysis techniques to combine multiple data sources to provide risk monitoring indicators, insights, or anomolies.
• Prepares statistical, financial, productivity and other ad-hoc reports for management and staff review. Works with end users in designing, writing, developing and maintaining relational database reports and outputs. Leverages technical applications to develop risk reporting, monitor key trends, and define metrics to regularly measure control effectiveness. May develop, design, deliver or consult with subject matter experts, to develop alternative technical solutions and provide related systems training; advise on options, risk, cost versus benefit, and impact on other business processes and system priorities. Analyzes data and create risk models to support business decisions. Develops and maintains business relationships within the business unit and IT personnel and managers.
• Identifies and implements process improvements, including the creation of standard and ad-hoc reports, tools, and Power BI Dashboards. Increases productivity by developing automated processes to include reporting and forecasting tools. Recommends actions by analyzing and interpreting data through comparative analyses. Improves governance by providing data visualizations that are digestible and actionable.
• May lead conversations and projects as needed. Also, may participate in larger Synovus wide projects as a SME for compliance. Assists peers with projects as data and risk assessment support is needed.
• Maintains up-to-date technical knowledge of data modeling, data analysis, financial reporting and trends. Acts in an advisory capacity, making recommendations which may have important bearing on the way business is conducted within the business unit.
• Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion.
• Performs other related duties as required.
  
  

The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Synovus is an Equal Opportunity Employer supporting diversity in the workplace

Minimum Education:

Bachelors Degree Computer Science, Information Systems, Mathematics, Economics, or a related field or an equivalent combination of education and experience.

Minimum Experience:

Five (5) years of data analytics, reporting, data modeling and business systems work experience analyzing and administering departmental or business unit specific software, systems, or reporting platforms OR an equivalent combination of education and experience. Demonstrated professional growth and achievement in a financial services or similar organization comparable in size. Experience managing mid-level to complex projects. Proven work experience in a quantitatively-heavy role.

Certifications:

NA

Required Knowledge, Skills, & Abilities:

• Advanced statistical analysis and modeling experience
• Strong analytical and data gathering skills with keen attention to detail
• Working knowledge of computer program design/applications, work-flow analysis and system program logic
• Multi-tasking skills and the ability to work in a fast-paced, complex, rapidly changing, environment with competing demands
• Ability to solve problems independently, quickly, and completely as well as communicate them clearly
• Ability to effectively adapt to rapidly changing technology and apply it to business needs
• Advanced proficiency in Microsoft products and report writing tools such as Power BI
• Ability to streamline functions and passion to learn and grow
  
  

Preferred Knowledge, Skills, & Abilities:

• Advanced Power BI, SQL and/or Python or other dashboard and modeling tools
• Experience with GRC system
• Strong interpersonal, communication, and presentation skills
• Skill in functioning as both a project coordinator/leader and project member
• Negotiation skills and the ability to mediate between wants, needs, and deliverables.
• Experience working with, and presenting to, senior leaders