Operations-Risk Governance-Vice President-Bengaluru
Goldman Sachs
Bengaluru, Karnataka, India
1m ago

Job Description

This is a challenging role in a global, real-time environment with exposure to a wide range of data analytics and solutions.

The Risk Solutions team is seeking a professional to help architect solutions for risk data analytics and deploy them in cutting edge data visualizations and dashboards to communicate them effectively to managers across Operations


Operations is a dynamic, multi-faceted division that works with all areas of the firm to deliver banking, sales and trading and asset management capabilities to clients globally while ensuring that the firm’s and clients’ assets are protected.

Operations partners with other divisions in developing the firm’s processes and controls and specifying system requirements to ensure process and control accuracy, timeliness and integrity.

Operations Risk Management (ORM) is responsible for coordinating the Operations Risk Management framework activities across the Division, with particular focus on cross-divisional risk reporting, remediation and governance.

Other key responsibilities include pro-actively improving the risk and control framework across Operations through more objective control assessments, conducting post implementation reviews, and developing risk training programs and risk management tools.

Risk Solutions team’s primary mission is to drive the development and deployment of new risk tools, dashboards and analytics while providing thought leadership and expertise in risk measurement, risk information and visualization.

As we access new data sources our challenge is to leverage them effectively and provide actionable metrics and visualizations that will drive change and facilitate more effective risk management.

We interact and support our embedded risk managers and seek to provide them with the analytics and tools to maximize their effectiveness.


As a VP in the Risk Solutions Team, you will be responsible for the delivery of data and reporting platforms and solutions to business key stakeholders enabling them to make data-informed decisions.

You will drive the data strategy and manage the day-to-day operations of the BI team.

  • The selected candidate will be self-motivated, innovative and passionate about data. Candidate will work across multiple geographies with cross-functional teams in a fast-paced, and collaborative, environment and play a significant role in the growth of the company.
  • Develop high impact analytics, visualizations and dashboards to support both senior and line manager risk management
  • Help project manage division and firmwide initiatives involving development and rollout of new data and platform solutions
  • Maintenance and support of the core risk infrastructure that includes virtual warehouses, databases, Alteryx canvases, Tableau workbooks and other low code solutions


  • Bachelor’s degree (STEM background) with a minimum of 11+ years of proven technical expertise
  • Minimum of 4-5 years of Project Management / Team Management experience managing a cross functional team
  • Should demonstrate thought leadership and strategic thinking as part of previous roles
  • Excellent problem solving skills with ability to think on scale and apply the right analytical solve
  • Ability to build, lead and mentor the BI team
  • Strong verbal and written communication skills with demonstrated experience and engaging with senior stakeholders

  • Proficiency in SQL or other querying language
  • Experience using data management / data modeling tools (Alteryx, Tableau)
  • Working knowledge of more than one programming language (E.g. R, VBA, Python)
  • Hands-on experience with data modelling and BI tools (Tableau, Alteryx, MS-BI Stack, Qlikview)
  • Advanced expertise with Business Intelligence Database Infrastructure (SQL Server, DB2, Data Lake)
  • Hands-on with advanced Microsoft Excel functionalities
  • Exhibit ability to multi-task and prioritize to deliver accurate and timely work in a time pressured environment
  • Quality Assurance / Risk Governance background
  • Good understanding of financial domain, data surveillance and machine learning concepts would be good to have
  • Understanding of Agile / Scrum Methodologies
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