At a Glance
- Tasks: Conduct portfolio research and manage systematic volatility investment strategies.
- Company: Join Goldman Sachs, a leading global investment firm with a diverse and inclusive culture.
- Benefits: Enjoy professional development, wellness programs, and a commitment to diversity.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make an impact in the world of finance while collaborating with talented professionals.
- Qualifications: Degree in a quantitative discipline and strong Python programming skills required.
The predicted salary is between 50000 - 70000 € per year.
A career with Goldman Sachs Asset & Wealth Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world's leading asset managers with over $3 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions, and building meaningful relationships with your clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success.
The Quantitative Investment Strategies (QIS) group within Asset & Wealth Management is responsible for managing client assets, and is a market leader in quantitative portfolio management. We use advanced quantitative methods to structure, manage, and monitor investment portfolios including Exchange-Traded Funds (ETFs), mutual funds, and separately managed accounts. The role focuses on Systematic Volatility investing within our QIS Liquid Alternatives group and will contribute to the innovation and future growth of our volatility investing franchise with a particular focus on Defined Outcome and other derivatives-based structures in an ETF wrapper.
Responsibilities:
- Perform portfolio research and portfolio construction for liquid, derivatives-based portfolios.
- Contribute to quantitative research on systematic volatility strategies across equity and other Macro asset classes.
- Collaborate with senior portfolio managers to further develop, enhance, and maintain the research and portfolio management platform, encompassing strategy backtesting, performance monitoring, and risk analysis.
- Manage the end-to-end lifecycle of core software repositories both in research and production environments, creating and reviewing code in accordance to the team's SDLC requirements, to support the code base infrastructure.
- Manipulate structured and unstructured large datasets to extract quantitatively based insights for systematic volatility strategies.
- Assess the feasibility of systematic investment strategies regarding trading and implementation, incorporating liquidity and trading cost considerations.
- Serve as a junior portfolio manager for the systematic volatility vertical within the QIS Liquid Alternatives group.
- Monitor systematic volatility premia models on an ongoing basis to ensure expected return delivery within expected risk parameters.
- Review and sign off trades generated by the team’s systematic investment models.
- Contribute to the monitoring to ensure that the portfolios and associated materials are compliant with the relevant regulatory, governance, and risk processes.
- Assist client-facing personnel when addressing client requests requiring quantitative analysis as well as when directly engaging with clients in in-depth discussions about volatility-based portfolios.
Required Qualifications:
- Degree (Undergraduate/Masters/PhD) in quantitative discipline required.
- Excellent Python programming skills and experience with other programming languages (e.g. C# or other languages).
- Proficiency in developing and deploying high-quality code within a production environment, ensuring strict adherence to established architectural standards and coding best practices.
- Knowledge of options pricing theory (classic and modern pricing methods, portfolio replication and stochastic calculus) and options derivatives analysis.
- Strong familiarity with advanced statistics, linear algebra, asset pricing models, and optimization techniques.
- Ability to synthesize and present research analysis, recommendations, and implications of investment decisions to senior management, client-facing personnel, as well as clients.
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.
Asset & Wealth Management, QIS Liquid Alternatives – Portfolio Management, Analyst, London employer: Goldman Sachs
Goldman Sachs Asset & Wealth Management is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. Employees benefit from a culture that prioritises integrity and transparency, alongside extensive professional development opportunities and a commitment to diversity and inclusion. With access to cutting-edge investment strategies and a global network of talented colleagues, you will find meaningful and rewarding career growth while contributing to the success of clients worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Asset & Wealth Management, QIS Liquid Alternatives – Portfolio Management, Analyst, London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Goldman Sachs. Use LinkedIn to connect and don’t be shy about asking for informational interviews. It’s all about building relationships that can help you land that dream role.
✨Tip Number 2
Prepare for interviews by diving deep into quantitative investment strategies. Brush up on your Python skills and be ready to discuss your experience with portfolio management. Show them you’re not just a candidate, but a passionate future team member!
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors. Focus on articulating your thought process when tackling complex problems, especially around systematic volatility investing. This will help you feel more confident when it’s showtime.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Goldman Sachs family. Let’s get you that interview!
We think you need these skills to ace Asset & Wealth Management, QIS Liquid Alternatives – Portfolio Management, Analyst, London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your quantitative skills and any relevant experience in portfolio management or programming. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about asset and wealth management, and how your background aligns with our values at StudySmarter. Keep it concise but impactful.
Showcase Your Technical Skills:Since this role requires strong programming skills, be sure to mention your proficiency in Python and any other languages you know. If you've worked on relevant projects, share those experiences with us!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at Goldman Sachs
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills, especially in areas like options pricing theory and stochastic calculus. Be ready to discuss how you've applied these concepts in real-world scenarios, as this will show your depth of understanding.
✨Show Off Your Coding Skills
Since Python programming is crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be familiar with best practices in software development.
✨Understand Systematic Volatility Strategies
Familiarise yourself with systematic volatility investing and derivatives-based structures. Be prepared to discuss recent trends in the market and how they could impact investment strategies, as this will highlight your industry knowledge and analytical skills.
✨Prepare for Client Interactions
As you'll be engaging with clients, practice articulating complex quantitative concepts in a clear and concise manner. Think about how you would explain your research findings or investment recommendations to someone without a technical background.
