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Asset & Wealth Management-WM Ops Transformation-Associate- Bengaluru

Goldman Sachs


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 16 July 2026 (30+ days ago)
Application Deadline: 13 October 2026
Vacancies: 1 Vacancy

Job Summary

Description

WEALTH MANAGEMENT

Across Wealth Management Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning investment management banking and comprehensive advice to a wide range of clients including ultra-high net worth and high net worth individuals as well as family offices foundations and endowments and corporations and their employees. Our consumer business provides digital solutions for customers to better spend borrow invest and save. Across Wealth Management our growth is driven by a relentless focus on our people our clients and customers and leading-edge technology data and design.

Operations

Operations is a dynamic multi-faceted division that partners with all areas of the firm to deliver banking sales and trading and asset management capabilities to clients around the world. Alongside this vital service delivery role Operations provides essential risk management and control preserving and enhancing the firms assets and its reputation. Operations partners with all areas of the firm to deliver banking sales and trading and asset management capabilities to clients around the world. Alongside this vital service delivery role Operations provides essential risk management and control preserving and enhancing the firms assets and its reputation. Operations span all product lines and markets and functions.

Your Impact

As a Process Modernization Associate you will partner directly with operations teams that support the firms wealth management business. This role will lead end-to-end assessments of existing workflows technology stacks and control frameworks using AI alongside traditional process improvement methodologies to deliver actionable recommendations toenhance efficiency mitigate risk and improve service.

Our Impact

PWM Operations supports PWM Private Wealth Advisors (PWA) globally. PWAs are responsible for advising ultra-high net worth individuals on strategies to build and protect their financial assets through customized advice and Operations is instrumental in meeting our clients needs and is responsible for several key processes which include account opening asset transfers client servicing execution services performance measurement and reporting of Goldman-custodied assets and away-custodied assets.

Key Responsibilities

Process Discovery & Analysis

  • Conduct structured engagements with operations teams tomap and document current-state processes including manual workflows system dependencies and data flows.
  • Develop and utilize a standardized organizational taxonomy to identify and solve for cross-functional patterns and inefficiencies
  • Perform detailedprocess mining and data analysisto identify bottlenecks redundancies and failure points.
  • Evaluate the existingtechnology stack(platforms tools integrations) for fitness-for-purpose scalability and alignment with strategic objectives

Control & Risk Assessment

  • Identifycontrol gapsand areas of elevated operational risk including key person dependencies manual reconciliation points and exception-handling weaknesses.
  • Assess processes against Goldman Sachsoperational risk framework regulatory requirements and industry best practices.
  • Collaborate with Compliance Risk and Technology teams to ensure recommendations align with the firmsrisk appetite and regulatory obligations.

Solution Design & Recommendations

  • Develop a comprehensivefunctional roadmap that articulates:
    • Current-state process maps and pain-point analysis
    • Control gap inventory with risk ratings
    • Prioritized recommendations for improvement:
      • AI integration(e.g. AI integration with existing technology stacks use of firm AI platforms use of advanced structured prompts)
      • Low-code / no-code automation(e.g. workflow orchestration ETL RPA)
      • Strategic technology uplift(e.g. platform migration API integration data infrastructure)
      • Behavioural and procedural change(e.g. revised SOPs training organizational design adjustments)
      • Measurements(e.g. KRIs KPIs dashboards reporting)
    • Business case estimates including effort cost and expected ROI
  • Designtarget-state operating modelsthat improve service reduce cycle times and mitigate risk.

Stakeholder Engagement & Change Enablement

  • Serve as atrusted advisorto operations leaders building consensus around modernization priorities.
  • Facilitate workshops interviews and working sessions with front-office operations and technology stakeholders.

Required Qualifications

  • Minimum5 years of progressive experiencein applied AI business intelligence data analytics or a related discipline within a fast-paced complex environment (financial services or wealth management preferred).
  • Proven track record inAI solution design and deployment including prompt engineering human-in-the-loop system design and responsible AI practices.
  • Demonstrated experience in developing and implementing BI and analytics programs including data lifecycle management reporting platform strategy and self-service/low-code tool adoption.
  • Strong understanding ofdata architecture data governance and data quality frameworks.
  • Experience building and presentingbusiness cases with ROI analysis and KPI frameworksto senior leadership.
  • Exceptional ability tocollaborate across business technology risk and operations teamsin a matrixed organization.
  • Familiarity withenterprise AI platforms(e.g. Microsoft Copilot OpenAI enterprise solutions) andBI platforms(e.g. Tableau Power BI Alteryx or similar).
  • Strong knowledge ofgovernance data privacy and regulatory compliancerequirements relevant to financial services.

Preferred Qualifications

  • Experience inWealth Management or Financial Servicesoperations and technology.
  • Hands-on experience withLLM-based applications retrieval-augmented generation (RAG) and agentic AI frameworks.
  • Familiarity withlow-code/no-code development platformsand their application in analytics and workflow automation



Required Experience:

IC


About Company

The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.

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