Corporate Planning & Management – Operational Risk & Resilience – Data Analytics & Reporting – Associate/ Senior Analyst

DIVISIONAL OVERVIEW

The Corporate Planning & Management (CPM) Division unifies Finance & Planning, Spend Management, Operational Risk and Resilience, and CPM Engineering teams to deliver business planning and analytics, expense management, third-party risk management, and governance strategies across the firm.  CPM has 5 operating pillars. 
Finance & Planning supports the execution of the firm’s strategic objectives through the management of the planning process, firmwide reporting and analytics and insights into the firm’s business plans and budgets. They develop consistent framework for revenue division projections creating transparency, accountability and efficiency around projections. This pillar also includes the CF&O, EO and Engineering divisional CFOs, who are strategic finance advisors helping the firm and the non-revenue divisions achieve commercial financial opportunities. Product Finance is responsible for the overall governance and proactive management of the firm’s non-compensation expenses. Spend Management encompasses the functions responsible for managing all aspects of the firm's spend with third-parties - advising commercial agreements and driving operating efficiency. Departments include Strategic Sourcing, Procure to Pay, Integrated Travel and Expense, Infrastructure and Transformation and Sustainable Operations. Operational Risk & Resilience (ORR) drives firmwide Operational Risk programs along with second line teams and implements required changes within CPM. This pillar also includes the Third-Party Risk Management (TPRM) team, responsible for identifying, managing, monitoring and reporting third-party risks and providing governance and operational frameworks for all the firm’s third-parties (vendors, non-vendors, contingent workers, and interaffiliate services). The Corporate Insurance & Advisory team in this pillar identifies, procures, and manages corporate insurance needs for the firm and its investing businesses. The CPM Engineering team provides engineering solutions that enable the firm to manage third-party spend, data and automation, plan budgets, forecast financial scenarios, allocate expenses and support corporate decision making in-line with the firm’s strategic objectives.

ROLE OVERVIEW

Professionals in CPM have an analytical mindset, exhibit intellectual curiosity and are from diverse academic backgrounds. This role sits within the Operational Risk & Resilience team.

The role requires collaboration with different functions across the firm on a regular basis, an ability to work independently, and ability to interact with senior professionals across the firm. It also entails in-depth data analysis and producing reporting for senior management, requiring diligence and a commercial mindset. The candidate is required to work closely with global counterparts. Should have excellent verbal and written communication skills.

JOB RESPONSIBILITIES WILL INCLUDE, BUT ARE NOT LIMITED TO:

• Develop ETL (Extract, Transform and Load) processes to integrate data from various sources into a centralized data warehouse to provide a comprehensive view of operational and third-party risk across the firm
• Analyse data to identify patterns, trends, and anomalies that may indicate potential risks. Utilise BI tools to develop interactive dashboards to visualize these key risk indicators and performance metrics
• Leverage your innovative skills to identify potential areas to create operational efficiencies and automate manual processes
• Leverage Program owners, working groups and other stakeholders to enable enhancements to the workflow or key metrics 
• Partner with engineering teams to develop scalable business processes and data pipelines to support our clients
• Manage prioritization and stakeholder engagement to maximize delivery towards established business goals

QUALIFICATIONS
 

• Graduate or Undergraduate degree in Computer Science, Statistics, Math, Engineering or related field
• Minimum of 4 years of experience in Business Intelligence / Data Analytics
• Analytical, self-motivated, detail-oriented with strong problem-solving skills
• Ability to communicate clearly with end users, development managers and other stakeholders
• Ability to work within a high-risk environment and meet challenging deadlines and targets
• Proficient in database query languages (such as SQL) and Data Visualization (platforms such as Tableau, QlikSense)
• Proficient in prescriptive analytics using tools such as Alteryx
• Experience with using multi-dimensional data modeling/data warehousing for data analytics and reporting

PREFERRED QUALIFICATIONS

• Experience working in a Third-Party Risk Management function within a Financial Services Industry
• Data governance and modelling experience
• Experience in gathering and documenting requirements with full testing traceability
• Experience in predictive analytics using tools such as Alteryx, Python, or R
• Certifications: Relevant certifications in database technologies (e.g., Certified Data Professional), ETL Tools (e.g., Alteryx Core and Advance certified) and BI Platforms (e.g., Tableau desktop specialist)
   

ABOUT GOLDMAN SACHS

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