At a Glance
- Tasks: Join a dynamic team to analyse capital metrics and operational risk for regulatory reporting.
- Company: Goldman Sachs is a leading global financial services firm with a rich history since 1869.
- Benefits: Enjoy diverse training opportunities, wellness programs, and a commitment to inclusion and personal growth.
- Other info: This role offers exposure to industry-leading market data and collaborative projects across various teams.
- Why this job: Be part of a creative environment tackling big data and enhancing risk management insights.
- Qualifications: A degree in a quantitative field and a passion for risk analytics are essential.
The predicted salary is between 36000 - 60000 € per year.
Overview
The Goldman Sachs Group, Inc. is 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 high-net-worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong, Bengaluru and other major financial centers around the world.
Role Description
Risk Engineering (RE) is part of the Risk Division and is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. RE is staffed globally with offices including New York, Dallas, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. Analytics & Reporting (A&R) is responsible for reviewing, publishing, interpreting and communicating the firm’s independent and authoritative risk and capital measures. This includes understanding financial and non-financial risk by analyzing risk and capital metrics to evaluate, explain and justify features and emerging trends observed in the Firm’s risk data.
Role Summary We are seeking a candidate to join the A&R – Capital and Financial Reporting team. The successful candidate will be an integral part of a pan-risk team responsible for the calculation and analysis of capital metrics and stress test results, with a focus on the delivery of operational risk components of the Comprehensive Capital Analysis and Review (CCAR) exercise and the calculation of Operational Risk Weighted Assets (RWA).
- Supporting the end-to-end CCAR operational risk loss projection process, including communicating timelines and facilitating review and challenge to achieve timely completion of a key regulatory deliverable
- Calculating, analyzing and reporting on Operational RWA results
- Liaising with groups such as Modelers/Strats, Controllers, Enterprise Risk, trading and investing businesses, Legal, Compliance, Model Risk Management and the firm’s Insurance group to gather inputs and communicate insights
- Interacting with Operational Risk specialists in domains such as cyber risk and algorithmic trading risk
- Identifying areas of potential improvement and interpreting the results of sensitivity analysis
- Working with Engineers to develop, test and integrate enhanced workflows to deliver automation, maximize efficiency, improve control and enhance the results’ timeliness and accuracy
- Preparing materials for the firm’s internal governing bodies such as Risk Committees and executive members of the firm
What We Look For
The role is ideal for collaborative individuals who have sound technical skills, financial risk acumen, strong ethics, and attention to detail.
OPPORTUNITIES
- Work in a dynamic and highly creative teamwork and consensus-oriented environment
- Exposure to industry-leading market data, pricing and risk and capital models for all activities the Firm engages in
- Exposure to challenging quantitative problems and large volumes of data (Big Data) and the tools and techniques to interact with, and determine meaningful interpretations of, such data
- Development of economic, financial product and market knowledge
Skills And Relevant Experience
- Masters or Bachelors degree in a quantitative discipline such as financial engineering, economics, mathematics, physics, econometrics or engineering
- Experience of risk measurement, operational risk management and/or the delivery of regulatory projects involving multiple stakeholders
- Excellent written and verbal communication skills
- Entrepreneurial, creative, self-motivated and team-orientated
- Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis
- Experience with, or keen interest to develop expertise in, development of risk analytics, interpretation and productivity tools for cultivating insights into risk and capital metric data
- Experience with, or keen interest to develop expertise in, pricing, risk and capital models
- Experience with, or keen interest to develop expertise in, financial markets and economics
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 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.
Seniority level
- Associate
Employment type
- Full-time
Job function
- Research, Analyst, and Information Technology
Risk - Analytics & Reporting - Associate - Birmingham employer: Goldman Sachs
Goldman Sachs is an exceptional employer, offering a dynamic and collaborative work environment in Birmingham that fosters professional growth and innovation. Employees benefit from exposure to cutting-edge financial data and risk models, alongside comprehensive training and development opportunities that empower them to excel in their careers. With a strong commitment to diversity and inclusion, Goldman Sachs ensures that every team member has the resources and support needed to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Risk - Analytics & Reporting - Associate - Birmingham
✨Tip Number 1
Familiarise yourself with the Comprehensive Capital Analysis and Review (CCAR) process. Understanding the nuances of this regulatory framework will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the risk management field, especially those who have experience with operational risk and capital metrics. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Stay updated on current trends in financial markets and risk analytics. Being knowledgeable about recent developments will allow you to speak confidently about how they impact risk management during your discussions.
✨Tip Number 4
Prepare to discuss your technical skills in mathematics and statistics, as well as any relevant software tools you’ve used. Highlighting your analytical capabilities will be crucial in showcasing your fit for the role.
We think you need these skills to ace Risk - Analytics & Reporting - Associate - Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in risk measurement, operational risk management, and any regulatory projects you've been involved in. Use specific examples to demonstrate your skills in quantitative disciplines.
Craft a Strong Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Mention how your background in financial engineering or mathematics aligns with the responsibilities of the position, particularly in relation to CCAR and Operational RWA.
Showcase Communication Skills:Since excellent written and verbal communication skills are essential for this role, consider including a brief example in your application that illustrates your ability to communicate complex information clearly and effectively.
Highlight Team Collaboration:Emphasise your experience working in collaborative environments. Mention any specific projects where you liaised with multiple stakeholders, as this is crucial for the role at Goldman Sachs.
How to prepare for a job interview at Goldman Sachs
✨Understand the Role
Make sure you have a solid grasp of the responsibilities outlined in the job description. Familiarise yourself with terms like CCAR, Operational RWA, and risk metrics. This will help you answer questions confidently and demonstrate your genuine interest in the position.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data analysis and risk management. Be ready to provide examples of how you've used quantitative skills in previous roles, especially in relation to financial risk or regulatory projects. Highlight any specific tools or methodologies you’ve employed.
✨Communicate Effectively
Since the role involves liaising with various teams, practice articulating complex ideas clearly and concisely. You might be asked to explain technical concepts to non-technical stakeholders, so demonstrating strong communication skills is key.
✨Demonstrate Teamwork
The job requires collaboration across multiple departments. Prepare examples that showcase your ability to work in a team-oriented environment. Discuss how you’ve contributed to group projects and how you handle differing opinions or challenges within a team.
