At a Glance
- Tasks: Create pricing models and use AI for financial analysis in a fast-paced environment.
- Company: Goldman Sachs, a leader in global finance with innovative solutions.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Other info: Join a team-oriented environment with exposure to diverse asset classes.
- Why this job: Make a real impact using your quantitative skills in a high-visibility role.
- Qualifications: Strong maths, coding skills, and a degree in a quantitative field required.
The predicted salary is between 50000 - 70000 £ per year.
Goldman Sachs operates at the fulcrum of one of the most important structural trends in finance: the convergence of public and private markets. We combine the #1 global advisory franchise, a leading origination business, and an investing platform that deploys capital across liquid and alternative asset classes.
Our Capital Solutions Group is a comprehensive suite of our financing, origination, structuring, and risk management solutions. The depth and breadth of our relationships, enriched by the velocity of our deal flow, provide clients unique insights to maximize value and unlock opportunity. Our integrated structure is built to provide comprehensive, tailored solutions that propel both our issuing and investing clients forward.
The Fund Finance Business sits within CSG, providing customized financing solutions to clients, which cover a wide range of collateral asset classes such as private credit and equity, capital calls or specialty assets, in the forms of Loans, Repurchase Agreements (Repos), Asset‑Backed Securities and Derivatives.
Strats play a critical role in the business, responsible for modelling and pricing trades, as well as building risk management tools for businesses and clients using cutting‑edge quantitative, machine learning, and other AI techniques. This is a highly visible platform to put quantitative skills and knowledge in use to make a direct impact on business growth. You will gain familiarity with different asset classes & risk factors while working on various trades and projects and build a broad foundation of product knowledge.
Responsibilities
- Create and extend pricing models, marking and calibration methodologies for structured products and derivatives.
- Use machine learning, data science and AI techniques for pricing and analysis of private market assets.
- Provide analysis for new transactions, understand key risks and drive commercial outcomes using data and quantitative methods.
- Build end-to-end solutions from data collection to automated actions for business risk management.
Who We Look For
- Strong quantitative and coding skills with a desire to develop a commercial mindset.
- Solid work ethics, team-oriented and high levels of motivation.
- Ability to work in a fast‑paced environment and time‑sensitive situations.
- Effective oral and written communication skills, which can be tailored to both technical and business audiences.
Basic Qualifications
- Bachelor’s degree or above and excellent academic record in a relevant quantitative field such as Mathematics, Physics, Computer Science or Engineering.
- Strong maths and quantitative skills.
- Knowledge of Stochastic Calculus and Derivative Pricing or a Machine Learning / Data Science / Applied AI background.
- Experience in object‑oriented programming with a language such as Python, Java or C++.
- Knowledge of Credit / Equity markets and products with an understanding of Interest Rates and FX risk management is preferred.
- Experience in a front office Strats or similar role is a plus.
Global Banking & Markets, Fund Finance Strats, Analyst/Associate, London employer: WeAreTechWomen
Goldman Sachs is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets finance. With a strong emphasis on employee growth, you will have access to cutting-edge tools and methodologies, fostering both personal and professional development. The collaborative culture encourages teamwork and creativity, making it an ideal place for those looking to make a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Global Banking & Markets, Fund Finance Strats, Analyst/Associate, London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like WeAreTechWomen. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Global Banking & Markets, Fund Finance Strats, Analyst/Associate, London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to WeAreTechWomen.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on WeAreTechWomen's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at WeAreTechWomen
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with WeAreTechWomen.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at WeAreTechWomen will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former WeAreTechWomen employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
