The Core Engineering - Software Engineer - Vice President - Birmingham

Goldman Sachs, Inc.
Birmingham, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
£82,124.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services Amazon S3 Business Analytics Applications Big Data Cloud Computing Computer Programming Databases Extract Transform Load (ETL) Data Structures
+16 more
Data Systems Python (Programming Language) Machine Learning Microsoft Copilot Software Engineering Strategies of Testing Claude Code Snowflake Apache Spark Agentic-AI AWS Fargate Apache Kafka Data Management Functional Programming Amazon Simple Queue Service (SQS) Microservices

Job description

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). 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. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units:

  • Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions
  • The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics
  • Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions
  • Non-Financial Risk & Controls: responsible for non-financial risk and control processes
  • Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement
  • Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk

What you’ll do

  • Build and own the systems that produce the firm’s regulatory submissions to global regulators
  • Take features end to end in an Agile team - requirements, design, code, test, UAT, release and run
  • Produce technical designs, testing strategies and implementation plans
  • Work directly with Finance stakeholders to turn regulatory requirements into workflows, data requirements and specifications
  • Build reusable solutions other teams can adopt, and spot opportunities to collaborate across divisions
  • Contribute to data modelling and curation for large-scale financial datasets *

Requirements

  • Bachelor’s degree or equivalent practical experience in a numerate/technical discipline
  • 4+ years of software development experience
  • Strong analysis and design skills, including data structures, algorithms and performance-oriented design
  • Hands-on programming experience in Java / Python
  • Strong communication skills with both technical and business audiences *

We’d also love to see (you don’t need all of these)

  • Working knowledge of cloud, ideally AWS (S3, SQS, Lambda, Fargate) or equivalents
  • Experience with distributed, microservices-based applications
  • Solutions architecture and system design experience
  • Strong database and data modelling skills
  • Experience with agentic AI coding tools (Claude Code, Copilot Agent Mode, Devin) and spec-driven development
  • Big data / Lakehouse (Snowflake), ETL pipelines (Spark, Glue), or event streaming (Kafka)
  • Interest in investment banking or financial instruments

About the company

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We’re committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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