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- Tasks: Join us as a Quantitative Strategist, solving real-world financial problems with innovative analytical methods.
- Company: Goldman Sachs is a leading global investment banking and securities firm, committed to diversity and inclusion.
- Benefits: Enjoy training from experts, wellness programs, and opportunities for personal and professional growth.
- Why this job: Make a measurable impact in a dynamic environment while collaborating with top professionals in finance.
- Qualifications: Bachelor's degree required; advanced degrees preferred, along with strong analytical and communication skills.
- Other info: Work on cutting-edge projects in a fast-paced setting, using programming languages like Python, C++, or Java.
The predicted salary is between 43200 - 72000 £ per year.
Our quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with bankers, traders and portfolio managers across the firm, their invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.
As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success in global financial markets. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts across the firm to navigate the complexities of the financial markets and state-of-the-art methods in quantitative finance.
An ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients.
JOB DUTIES- Work as a Quantitative strategist to build, enhance and analyze mathematical models designed to compute various liquidity and risk metrics.
- Design and build mathematical models that attribute spot metrics and project future requirement, produce quantitative analytics on historical metrics data.
- Build quantitative tools to explain and perform scenario analyses on various liquidity metrics.
- Write model documents and execute model validation process in accordance with firm policy for quantitative models.
- Collaborate with non-engineers to explain model behavior.
- Bachelor’s degree minimum, Masters or PHD preferred
- Strong analytical skills to perform complex functional and technical analyses
- Strong communication skills
- Developing mathematical models in one of the following: Python, C++ or Java.
- Developing financial pricing models in any asset class.
- Maintaining a production code base and daily production processes.
- Preparing and submitting technical documents to support the validation of mathematical models.
- Working with techniques of optimization, statistical analysis, including parameter estimation.
Corporate Treasury - Quantitative Strategist - Associate - London employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Corporate Treasury - Quantitative Strategist - Associate - London
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and the specific tools used in the industry, such as Python, C++, or Java. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals already working in corporate treasury or quantitative roles. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about their experiences, which can provide valuable insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your previous experience with mathematical modelling and financial pricing models. Be ready to explain your thought process and the impact of your work on past projects, as this will demonstrate your analytical skills and ability to contribute to the team.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex quantitative concepts in simple terms. This is crucial for collaborating with non-engineers and will highlight your ability to work effectively within a diverse team.
We think you need these skills to ace Corporate Treasury - Quantitative Strategist - Associate - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with mathematical models and programming languages like Python, C++, or Java. Emphasise any relevant projects or roles that demonstrate your analytical skills and ability to work in a fast-paced environment.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative finance and how your unique skill set aligns with the responsibilities of the role. Mention specific experiences where you've successfully solved complex problems or contributed to financial strategies.
Showcase Relevant Experience: When detailing your previous roles, focus on your experience with developing financial pricing models and maintaining production code bases. Use quantifiable achievements to illustrate your impact in past positions.
Prepare for Technical Questions: Anticipate technical questions related to mathematical modelling and scenario analysis. Brush up on your knowledge of optimisation techniques and statistical analysis, as these will likely be key topics during the interview process.
How to prepare for a job interview at WeAreTechWomen
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with complex analyses and how you've applied mathematical models in previous roles. Highlight specific examples where your analytical skills led to successful outcomes.
✨Demonstrate Programming Proficiency
Since the role requires developing models in Python, C++, or Java, be ready to talk about your programming experience. You might even want to prepare a small coding example or problem-solving scenario to showcase your skills.
✨Communicate Clearly
Strong communication skills are essential for this position. Practice explaining complex concepts in simple terms, as you will need to collaborate with non-engineers. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of past experiences where you had to analyse data or build models under pressure, and be ready to discuss your thought process and the results.
