Goldman Sachs
Website:
goldmansachs.com
Company:
https://www.linkedin.com/company/goldman-sachs
Seniority: Mid-Senior level
Industries: Financial Services
Job details:
Job Description
Metrics & Analytics Platform -
Portfolio Risk Platforms - Vice President
Organization
The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for the firm’s Risk, Controllers, Compliance, Corporate Treasury, Human Capital Management functions (The Core). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency.
Metrics & Analytics Platforms, within The Core Engineering, is responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions. Within Metrics & Analytics Platforms unit, Portfolio Risk Platforms team provide critical business services for Risk management covering Market Risk, Counterparty & Lending Risk, Interest rate Risk and Price Verification.
Job Description
The
Portfolio Risk Platforms Engineering team designs, engineers, and maintains the high-performance risk calculation engines that generate critical risk metrics, and risk management workflows for global risk management teams.
We are seeking a visionary
Lead Engineer (Vice President) to join our dynamic team in Bengaluru. In this role, you will collaborate closely with Risk business partners and other stakeholders to revolutionize, scale, and maintain the systems driving our risk metrics and workflows.
Responsibilities
- Build Scalable Metrics Engines: Architect and optimize high-throughput, reliable data and calculation processes that generate timely and accurate lending metrics to actively manage and mitigate the firm’s risk exposures.
- Build Complex Risk Workflows: Engineer highly performant, resilient, and scalable systems that empower risk managers to seamlessly evaluate market scenarios, counterparties, assign credit ratings, and define risk appetites.
- Architect the Future: Lead the blueprint and execution of our next-generation architecture with an AI-driven, cloud-first mindset—ensuring maximum resiliency, scalability, and alignment with the firm’s long-term strategic growth.
- Provide Hands-On Technical Leadership: Act as a hands-on technical leader, building deep credibility and trust across regional and global engineering teams while actively unblocking complex platform uplifts and ongoing technical challenges.
- Drive Engineering Excellence & Mentorship: Cultivate a culture of engineering excellence, and mentor the next generation of engineering talent to help them reach their full potential.
- Collaborate Cross-Functionally: Partner closely with quantitative engineers, technical leaders across the broader engineering organization, and product managers to define and execute our next-generation architecture.
Minimum Qualifications
- 7+ years of hands-on software development experience building and scaling enterprise-level, business-critical systems.
- Proven experience providing technical leadership across global development teams, including driving modern, scalable SDLC practices.
- Deep expertise in cloud architectural design, with a strong preference for AWS and multi-region high-availability patterns.
- Demonstrated experience defining, designing, and delivering AI-enabled products, platforms, or automated solutions.
- Proven track record of leading large-scale platform modernization, legacy transformation, or strategic change initiatives across cross-functional teams and business units.
- Exceptional analytical, debugging, and problem-solving skills.
- A strong appetite and openness to dive into proprietary systems, understand their inner workings, and strategically uplift them.
- Outstanding leadership, communication, and interpersonal skills, with a proven ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
- Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
Preferred Qualifications
- Prior experience in the financial services industry, with deep domain knowledge in Risk, or Risk Engineering systems.
Click on Apply to know more.