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- Tasks: Lead a team to develop and maintain cutting-edge market risk models for equities.
- Company: Join Goldman Sachs, a global leader in investment banking and finance.
- Benefits: Enjoy competitive salary, health insurance, generous vacation, and wellness programs.
- Why this job: Make a real impact in finance while working with top quantitative experts.
- Qualifications: PhD or extensive experience in quantitative fields; strong programming skills required.
- Other info: Dynamic work environment with opportunities for professional growth and diversity.
The predicted salary is between 43200 - 72000 £ per year.
We are currently seeking experienced candidates for the position of Vice President in Market Risk Strats team within the Risk Division to lead Equities Market risk Strats. The Market Risk Strats team is a multidisciplinary group of quantitative experts focusing on market risk and capital models. The team is primarily responsible for designing, implementing and maintaining quantitative models for metrics such as Value-at-Risk, Stress Tests and Capital.
Responsibilities
- Developing, refining and maintaining robust and production quality market risk models (such as value-at-risk, stress tests) and capital models covering Equities businesses. This involves identifying market risk factors for various equity products (derivatives) and building mathematical models to capture their economic and statistical characteristics.
- Implementing, testing and productionizing models and analytics. This involves prototyping models, implementing them and designing tests to ensure the quality of implementation as well as tests for the continuous functioning of the models.
- Performing pricing analyses, risk and capital impact analyses.
- Interacting with various other groups such as risk managers, senior managers and stakeholders to explain the results of the models and analytics and provide quantitative advice.
- Leading a team of quantitative analysts, managing their day-to-day activities.
Basic Qualifications
- Strong quantitative skills with a PhD degree in a quantitative discipline (Physics, Mathematics, Quantitative Finance, Computer Science, Engineering, etc.) along with 5 years of relevant work experience or a Bachelor’s/Master’s degree in a quantitative discipline with 8 years of relevant work experience.
- Excellent command of mathematics, modeling and numerical techniques.
- Good knowledge of statistics, time series analysis, econometric modeling and probability theory.
- Strong programming skills and experience with a popular programming language (Java, C++, Python etc.).
- Hands-on experience of developing pricing models/risk models for equities (derivatives).
- Experience in managing a team of quantitative analysts.
Risk - Quantitative Engineering - Vice President - London London · United Kingdom · Vice President employer: Goldman Sachs Bank AG
Contact Detail:
Goldman Sachs Bank AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk - Quantitative Engineering - Vice President - London London · United Kingdom · Vice President
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and risk sectors. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those tricky interviews! Brush up on your quantitative skills and be ready to discuss your experience with market risk models. Practise explaining complex concepts in simple terms – it’ll impress the interviewers and show you can communicate effectively.
✨Tip Number 3
Showcase your projects! If you've worked on relevant models or analyses, create a portfolio or presentation to share during interviews. This not only highlights your skills but also demonstrates your passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Risk - Quantitative Engineering - Vice President - London London · United Kingdom · Vice President
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your quantitative skills and relevant experience in market risk. Use keywords from the job description to show that you understand what we're looking for.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for the Vice President role. Share specific examples of your past work with market risk models and how you've led teams, making it personal and engaging.
Showcase Your Technical Skills: Don’t forget to mention your programming skills and any hands-on experience with pricing or risk models. We want to see your technical prowess, so be clear about the tools and languages you’re proficient in.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at Goldman Sachs Bank AG
✨Know Your Models Inside Out
Make sure you have a deep understanding of the quantitative models relevant to market risk, especially Value-at-Risk and stress tests. Be prepared to discuss your experience in developing and implementing these models, as well as any challenges you've faced and how you overcame them.
✨Brush Up on Your Programming Skills
Since strong programming skills are essential for this role, ensure you're comfortable discussing your experience with languages like Python, Java, or C++. You might be asked to solve a coding problem during the interview, so practice common algorithms and data structures beforehand.
✨Prepare for Team Leadership Questions
As a Vice President, you'll be leading a team of quantitative analysts. Think about your leadership style and be ready to share examples of how you've managed teams in the past, including how you handle conflicts and motivate your team members.
✨Engage with Stakeholders
You'll need to interact with various groups, so prepare to discuss how you communicate complex quantitative concepts to non-technical stakeholders. Have examples ready that demonstrate your ability to explain results clearly and provide actionable insights based on your analyses.
