At a Glance
- Tasks: Create innovative software solutions to enhance market risk analytics and reporting.
- Company: Join Goldman Sachs, a leading global investment banking firm with a diverse culture.
- Benefits: Enjoy competitive salary, health benefits, generous vacation, and professional development opportunities.
- Other info: Dynamic work environment with excellent career growth and support for personal development.
- Why this job: Make a real impact in risk management while working with cutting-edge technology.
- Qualifications: Degree in a quantitative field and experience in programming, especially Python and SQL.
The predicted salary is between 63000 - 77000 £ per year.
Market Risk Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s market risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders.
Role Responsibilities
- A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. This role will focus on Market Risk.
- A&R has a unique vista point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights.
- Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities.
- Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting.
- Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics.
Qualifications, Skills & Aptitude
- Eligible candidates are preferred to have the following:
- Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.
- Entrepreneurial, analytically creative, self-motivated and team-oriented.
- Excellent written, verbal and team-oriented communication skills.
- Working knowledge of the financial industry, markets and products and associated non-financial risk.
- Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.
- Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization).
- Experience in using languages such as R, Java, C++ is beneficial.
- Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.
- 2-5 years of experience, preferably in financial, regulatory or consulting environment.
Risk - Software Engineer - Associate - London London · United Kingdom · Associate employer: Goldman Sachs Bank AG
Goldman Sachs Bank AG is an exceptional employer, offering a dynamic and inclusive work environment that fosters professional growth and development. As a DCM Associate in London, you will have the opportunity to engage in high-stakes financing transactions while building valuable relationships in the private equity market. With a strong emphasis on collaboration and innovation, employees are encouraged to thrive and excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Risk - Software Engineer - Associate - London London · United Kingdom · Associate
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Risk - Software Engineer - Associate - London London · United Kingdom · Associate
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Goldman Sachs Bank AG.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Goldman Sachs Bank AG and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Goldman Sachs Bank AG
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Goldman Sachs Bank AG uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.