Data Engineer - Vice President- Corporate Treasury GS Bank Engineering

Who We Are

Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity, managing its risk and compliance with regulations.

Our Corporate Treasury Engineering team is a world leader in developing quantitative techniques and technological solutions that solve complex and commercial business problems. We partner with our firm's treasurer and other members of Corporate Treasury senior leadership to manage the firm's liquidity risk, secured and unsecured funding programs, and the level and composition of consolidated and subsidiary equity capital and to invest any excess liquidity. An exciting confluence of computer science, finance and mathematics are being used to solve for what our shareholders would like from us - a high return for the right risk taken.

GS Bank Engineering team is responsible for supporting the various Cross Product functions GS Bank. This includes Cross Product Regulatory Controls, Centralized Loan Pledge Platform and Third-Party Deposit Sweep Platform and FDIC Deposit Insurance Calculator. An ever evolving business and regulatory environment demands ongoing innovation to maintain scalable solutions in a changing world.

The Cross Product Regulatory Controls team builds and manages applications that validates 1mm daily over-the-counter trades in real time and assess $3Bn worth of loans and securities to aggregate and generate reports for Reg W 23A Regulatory reporting. Working directly with the compliance and legal teams, we gather requirements and provide solutions that meet the dynamic business and regulatory environments.

Your Impact

In this role, you will be provided unique insight into the firm's business activities and asset strategy. You will be responsible for defining, developing data pipelines, built metric calculators, automated tools to help business get insights into data, predict scenarios, and perform better decision making to help optimize firm's liquidity. Our front to back model gives software developer's window into all aspects of CT planning and execution while working on cutting edge industrial technologies.

In this role, you will be understanding the data consumed in the calculators and identify gaps, uplift, and consolidation opportunities. You will Work with multiple data providers to identify authorized sources of data and create logical data models to provide equivalent view of data. You will collaborate extensively with Engineering and Product teams to support functional use-cases and take data driven decisions to build and enhance the platform. The ideal candidate has experience building robust data pipelines and reporting tools. Also, someone with a strong application development background with keen interest in data engineering would be considered.

Basic Qualifications

• B.S. or higher in Computer Science (or equivalent work experience)

• Experience in data processing & software engineering and can build high-quality, scalable data oriented products

• Experience on distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines

• Strong Software Engineering experience with in-depth understanding of Python, Scala, Java or equivalent

• Experience with building workflows (ETL pipelines)

• Experience with SQL and optimizing queries

• Strong analytical and problem-solving skills - demonstrated ability to learn technologies and apply.

• Comfortable multi-tasking, managing multiple stakeholders and working as part of a team.

• 4+ years of relevant professional experience

Preferred Qualifications

• Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)

• Programming experience in at least one compiled language - Java, Python

• Experience with Kubernetes

• Experience with AWS

• Familiarity with financial markets, financial assets, and liquidity management is plus About Goldman Sachs

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!

The Goldman Sachs Group, Inc., 2021. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Salary Range

The expected base salary for this New York, New York, United States-based position is $150000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits

Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.