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For Companies At a Glance
- Tasks: Join a dynamic team to develop risk management software and enhance data insights.
- Company: Goldman Sachs is a leading global investment banking and securities firm with a commitment to diversity.
- Benefits: Enjoy professional growth opportunities, wellness programs, and a supportive work culture.
- Why this job: Make a real impact in risk management while working with cutting-edge technologies and talented peers.
- Qualifications: Bachelor's degree in a technical field and 6-9 years of relevant experience required.
- Other info: Flexible work arrangements and a focus on personal development are part of our culture.
The predicted salary is between 43200 - 72000 £ per year.
RISK BUSINESS
The Risk Business identifies, monitors, evaluates, and manages the firm's financial and non-financial risks in support of the firm's Risk Appetite Statement and the firm's strategic plan. Operating in a fast-paced and dynamic environment and utilising the best in class risk tools and frameworks, Risk teams are analytically curious, have an aptitude to challenge, and an unwavering commitment to excellence.
Overview
To ensure uncompromising accuracy and timeliness in the delivery of the risk metrics, our platform is continuously growing and evolving. Risk Engineering combines the principles of Computer Science, Mathematics and Finance to produce large scale, computationally intensive calculations of risk Goldman Sachs faces with each transaction we engage in. As an Engineer in the Risk Engineering organisation, you will have the opportunity to impact one or more aspects of risk management. You will work with a team of talented engineers to drive the build & adoption of common tools, platforms, and applications. The team builds solutions that are offered as a software product or as a hosted service. We are a dynamic team of talented developers and architects who partner with business areas and other technology teams to deliver high profile projects using a raft of technologies that are fit for purpose (Java, Cloud computing, HDFS, Spark, S3, ReactJS, Sybase IQ among many others). A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing it, performing risk computations in limited amount of time using distributed computing, and making data available to enable actionable risk insights through analytical and response user interfaces.
WHAT WE LOOK FOR
- Senior Developer in large projects across a global team of developers and risk managers
- Performance tune applications to improve memory and CPU utilization.
- Perform statistical analyses to identify trends and exceptions related Market Risk metrics.
- Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL, and data visualization tools, such as Tableau.
- Utilise web development technologies to facilitate application development for front end UI used for risk management actions
- Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems.
- Interact with business users for resolving issues with applications.
- Design and support batch processes using scheduling infrastructure for calculation and distributing data to other systems.
- Oversee junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code review and production migrations.
Skills And Experience
- Bachelor's degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
- 6-9 years' experience is working risk technology team in another bank, financial institution. Experience in market risk technology is a plus.
- Experience with one or more major relational / object databases.
- Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts
- Comfortable multi-tasking, managing multiple stakeholders and working as part of a team
- Comfortable with working with multiple languages
- Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant)
- Experience in working with process scheduling platforms like Apache Airflow.
- Should be ready to work in GS proprietary technology like Slang/SECDB
- An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file handles).
- Knowledge and experience in distributed computing - parallel computation on a single machine like DASK, Distributed processing on Public Cloud.
- Knowledge of SDLC and experience in working through entire life cycle of the project from start to end.
Risk - Software Engineer - Vice President - Birmingham employer: Goldman Sachs, Inc.
Contact Detail:
Goldman Sachs, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk - Software Engineer - Vice President - Birmingham
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Scala, Java, and Spark. Having hands-on experience or projects showcasing your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals already working in risk technology or at Goldman Sachs. Attend industry meetups or webinars to connect with them, as personal referrals can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your experience with performance tuning applications and statistical analyses. Be ready to provide examples of how you've improved system efficiency or identified trends in previous roles, as this aligns closely with the responsibilities of the position.
✨Tip Number 4
Showcase your understanding of the Software Development Life Cycle (SDLC) and be prepared to discuss your role in past projects. Highlighting your ability to oversee junior team members and manage multiple stakeholders will demonstrate your leadership potential.
We think you need these skills to ace Risk - Software Engineer - Vice President - Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in risk technology and software engineering. Emphasise your skills in programming languages like Java, Scala, and Python, as well as your familiarity with databases and distributed computing.
Craft a Compelling Cover Letter: In your cover letter, express your passion for risk management and software engineering. Mention specific projects or experiences that demonstrate your ability to work in a fast-paced environment and your commitment to excellence.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your experience with tools and technologies mentioned in the job description, such as SQL, Spark, and data visualisation tools like Tableau.
Highlight Team Collaboration: Since the role involves working with a global team, emphasise your experience in collaborative projects. Provide examples of how you've successfully managed multiple stakeholders and contributed to team success in previous roles.
How to prepare for a job interview at Goldman Sachs, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the specific technologies mentioned in the job description, such as Java, Scala, and Spark. Bring examples of past projects where you utilised these skills, and be ready to solve technical problems on the spot.
✨Understand Risk Management Concepts
Familiarise yourself with key risk management principles and metrics. Be ready to explain how your engineering solutions can impact risk calculations and improve decision-making processes within a financial context.
✨Demonstrate Team Collaboration
Highlight your experience working in global teams and managing multiple stakeholders. Share examples of how you've successfully collaborated with both technical and non-technical team members to deliver high-profile projects.
✨Prepare for Behavioural Questions
Expect questions that assess your problem-solving abilities and how you handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on your contributions to team success and project outcomes.
