Corporate Planning & Management-Operational Risk and Resilience- Data Analytics-Dallas-Vice President

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 have 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 drives firmwide Operational Risk programs along with second line teams and implements required changes within CPM.

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 analysis and 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 :

• Partner with divisional leadership to understand business drivers and initiatives
• 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.
• Lead the team’s efforts to identify areas where we can better leverage technology and automate processes
• Identify potential areas to create operational efficiencies and automate manual processes
• Use digital analytics and automation tools to analyze data to identify patterns, trends, and anomalies that may indicate potential risks.
• Use predictive modelling techniques to forecast future risks and potential impacts on the business.
• Collaborate with different functions and stakeholders to understand the specific risk management needs, define key risk metrics, and key performance indicators and build reporting solutions to equip the business to action / mitigate the risk.
• Use BI tools to develop interactive dashboards to visualize key risk indicators and performance metrics.
• Implementing systems for continuous monitoring of key risk indicators and updating risk profiles in real time.
• Design and manage data warehouse solution to support reporting and analytics needs.
• Administering and optimizing databases to ensure efficient data storage, retrieval, and processing.
• Develop and maintain data models; create entity relationship diagrams for databases.
• Develop and implement scenario modelling techniques to simulate the impact of different risk scenarios.

Qualifications :

• Bachelor’s or Master’s degree in Analytics / Data science (or) any Math / Statistics / Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering / business intelligence tools especially strong understanding of database concepts and data modeling.
• 7+ years of relevant experience in the field of finance, accounting, and / or business management
• Strong understanding of ETL processes, data integration, data quality framework and ability to design and implement efficient data pipelines.

Data Science, Analytics and Automation tools / platforms : Alteryx (preferred), RapidMiner, Informatica, QlikSense or similar

• Ability to create interactive and insightful visualization dashboards for risk reporting. Visualization Tools : Tableau (preferred), QlikView, Power BI
• Data Quality : Understanding of data quality best practices and experience in implementing data governance principles.
• Excellent communication and interpersonal (written and verbal) skills, strong attention to detail
• Ability to lead across team members and drive assignments to completion
• Understanding of Risk Management principles and methodologies. Experience in creating risk models to identify, assess and quantify potential risks.

Preferred Qualifications :

• Experience working in a Third-Party Risk Management function within a Financial Services Industry.
• Familiarity with cloud platforms such as AWS, Google Cloud or Azure
• Certifications : Relevant certifications in database technologies (., Certified Data Professional), ETL Tools (., Alteryx Core and Advance certified) and BI Platforms (.

Tableau desktop specialist)