Job Descrption
Global Banking & Markets - Controls Engineering - Vice President - London
Office Location(s): London
Quantitative Engineering
Division: Global Banking & Markets
Controls Engineering – Global Banking & Markets - VP
Controls engineering is responsible for building the next generation firm-wide control plane for our front office desks. The successful candidate will use their deep technical skills to inform the implementation of a highly scalable message driven architecture, processing ~3bn messages per day and making ‘safe to trade’ determinations in real time. The role will also involve building out web applications that allow users to register, develop and administer controls on the platform.
This role offers the opportunity to work in a competitive & nimble team to implement high performance code using open-source libraries. Candidates will work directly with a variety of stakeholders, including product managers and Global Banking & Markets risk managers to improve our controls data... platform. The team is in London and India, focusing on the control data solution for Global Banking & Markets Operational Risk and delivering new features.
Use data to guide decision-making, developing or enhancing tools as necessary to collect it.
Deliver and design new features for Control Data Solution Team.
Actively participate as a member of a global team on larger development projects, assuming responsibilities of components of global projects, depending on need.
Collaborate with engineering leadership, developers, and operations through written and verbal presentations.
Minimum Education Requirements/Degree and Field:
~ Bachelor’s degree (US or UK foreign equivalent) in any STEM degree, Computer Science, Information Technology, or a related field (Finance/Quantitative Economics, etc.).
Six (6) years of experience in the job offered or in a related data engineering, software engineering or full-stack software engineering position.
Working with software engineering principles and practices.
Working knowledge of at least 2 High Level Programming Languages like Java or Python.
Working knowledge of algorithms, data structures, and enterprise applications.
Formulating clear and concise written and verbal descriptions of Software and System for engineering stakeholders and tracking and managing delivery of the same.
Ability to solve high performance engineering problems in a language-agnostic manner.
Experience with Kubernetes deployment architectures.
Experience building trading controls within an investment bank.
Experience with NoSQL (Mongo, Elastic, Hadoop), in-memory (MEMSQL, Ignite), cloud (Snowflake), and relational (DB2, SybaseIQ) data store solutions.
Experience in data-driven performance analysis and optimizations.
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'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. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.
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