Senior Control Management Specialist

• Participate in identifying, assessing, managing, and mitigating current and emerging risk exposures within Control Management functional area
• provide risk management consulting to support the business in designing and implementing risk mitigation strategies, business processes, and business controls
• monitor moderately complex business-specific programs and provide risk management consulting to support the business in designing and implementing risk mitigation strategies
• monitor, measure, evaluate, and report on the impact of decisions and controls to the relevant business group or functional area
• provide guidance to business groups on the development, implementation, and monitoring of business-specific programs to identify, assess, and mitigate risk
• collaborate with relevant business group to identify current and emerging risks associated with business activities and operations
• lead moderately complex data engineering and analytics initiatives within the enterprise data environment
• develop, maintain, and optimize data pipelines using Python, SQL, and related libraries (e.g., Pandas, NumPy, Polars)
• design, code, test, debug, and document scalable ETL processes and data transformation scripts
• participate in the design and development of high-performance data solutions, integrating structured and semi-structured data sources
• collaborate with business stakeholders, analysts, and platform teams to translate business requirements into robust data flows
• design, build, and optimize risk reports in PowerPoint using Python based on data and risk assessments
• review the measures, calculations, and commentary provided against the KRIs and metrics on a regular basis
• conduct analysis on the complex sets of data
• support the team in producing accurate reports on a regular basis

4+ years of Risk Management or Control Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Bachelor's degree or higher in Computer Science, Engineering, or related field
• experience in using Python for data wrangling, transformation, and automation tasks
• strong working knowledge of data manipulation libraries including NumPy, Pandas, and Polars
• familiarity with modern data architecture concepts and working with large datasets
• experience with Power Platform (Power BI, Power Apps, Power Automate) is a strong plus
• strong analytical skills and problem-solving ability
• prior work experience or knowledge in Risk and Controls is a plus
• ability to work independently and proactively in a fast-paced environment
• deep understanding of the data and ability to identify similar concepts in the different data sets

• Equal opportunity employer
• opportunity to work in a fast-paced environment
• professional growth in risk management and data engineering