Global Banking & Markets - Controls Engineering - Analyst - Bengaluru

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At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Controls Engineering – Global Banking & Markets - Analyst

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.

Role Overview

This role offers the opportunity to work in a competitive & nimble team of implement high performance code using open-source libraries.  Candidates will work directly with a variety of stakeholders, including the product managers and Global Banking & Markets risk managers to improve our controls data platform. The team is in London and India focuses 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.
• Understand market rules, regulations, exchange service offerings, front to back business functions and build systems to facilitate them.
• Communication with traders, sales, clients and compliance officers about new systems, feature requests, explanation of existing features etc.

Job Duties

• Delivering and designing new features for Control Solutions Team.
• Investigate incidents to review and redesign existing flows to improve platform stability. 
• Contribute to SDLC documentation and guidance including templates, patterns, and controls.
• Actively participate as a member of a global team on larger development projects, assume responsibilities of components of global projects, depending on need
• Collaborate with engineering leadership, developers, and operations through written and verbal presentations.

Minimum Education Requirements

• Bachelor’s degree Computer Science, Information Technology, or a related field. 

Minimum Years Experience Required

• One (1) year of experience in the job offered or in a related software engineering or full-stack software engineering position

Special Skills or Licences to perform this job

Prior employment must include one (1) year of experience with:

• Working with software engineering principles and practices
• Working knowledge of at least 1 High Level Programming Language 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

 Preferred Qualifications

• Experience with Kubernetes deployment architectures 
• Experience in distributed systems (Kafka, Flink)
• Experience in micro services architecture
• Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite), cloud (Snowflake) and relational (DB2, SybaseIQ) data store solutions.
• Experience with UI technologies like React, Javascript
• Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite) and relational (Sybase, DB2, SybaseIQ) data store solutions

Goldman Sachs Engineering Culture

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!

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