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For Companies At a Glance
- Tasks: Join a dynamic team to develop risk management software and tools.
- Company: Goldman Sachs is a leading global investment banking and securities firm.
- Benefits: Enjoy diverse opportunities for growth, wellness programs, and a commitment to inclusion.
- Why this job: Make an impact in risk management while working with cutting-edge technologies.
- Qualifications: Bachelor's degree in a technical field and 3+ years in risk technology preferred.
- Other info: Open to candidates with diverse backgrounds and experiences.
The predicted salary is between 43200 - 72000 £ per year.
Risk Division
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 utilizing 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 organization, 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
- 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.
- Utilize 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
- 3+ 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.
- Open to working 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
ABOUT GOLDMAN SACHS
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. #J-18808-Ljbffr
Risk Division - Software Engineer -Associate- Birmingham employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Division - Software Engineer -Associate- 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 they might provide insights or even refer you internally, which can significantly boost your chances.
✨Tip Number 3
Demonstrate your analytical skills by preparing to discuss real-world scenarios where you've successfully identified trends or exceptions in data. This will show your ability to apply statistical analyses in a practical context, which is crucial for this role.
✨Tip Number 4
Be ready to showcase your understanding of the Software Development Life Cycle (SDLC). Prepare examples of how you've contributed to projects from start to finish, highlighting your teamwork and problem-solving abilities in a fast-paced environment.
We think you need these skills to ace Risk Division - Software Engineer -Associate- Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in risk technology and software development. Emphasise your familiarity with the technologies mentioned in the job description, such as Java, Scala, and SQL.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your analytical skills and ability to work in a fast-paced environment.
Showcase Technical Skills: Clearly outline your technical skills and experiences related to distributed computing, data structures, and algorithms. Provide examples of how you've applied these skills in previous roles, especially in risk management contexts.
Prepare for Technical Questions: Anticipate technical questions related to software development and risk metrics during the interview process. Brush up on your knowledge of performance tuning, statistical analysis, and the Software Development Life Cycle (SDLC).
How to prepare for a job interview at WeAreTechWomen
✨Understand the Risk Landscape
Familiarise yourself with the key concepts of financial and non-financial risks. Be prepared to discuss how these risks impact decision-making in a fast-paced environment, as well as your understanding of the firm's Risk Appetite Statement.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in relevant programming languages and technologies mentioned in the job description, such as Java, Scala, or Python. Prepare examples of past projects where you applied these skills, especially in risk technology.
✨Prepare for Problem-Solving Questions
Expect to tackle technical problems during the interview. Brush up on your knowledge of data structures, algorithms, and distributed computing. Practice explaining your thought process clearly and concisely as you work through these problems.
✨Emphasise Team Collaboration
Highlight your experience working in teams, especially in cross-functional settings. Be prepared to discuss how you've managed multiple stakeholders and contributed to large projects, showcasing your ability to collaborate effectively with both technical and non-technical team members.
