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- Tasks: Join a dynamic team to automate model performance monitoring and support daily quant tasks.
- Company: Be part of a leading Global Markets division with a focus on innovation and technology.
- Benefits: Enjoy opportunities for remote work, skill development, and exposure to cutting-edge financial technologies.
- Why this job: This role offers hands-on experience in quant analysis and the chance to impact real-world trading strategies.
- Qualifications: A strong grasp of programming (Python, C++) and a maths or science-based degree are essential.
- Other info: Experience with Murex is a plus, but not mandatory; we value your eagerness to learn!
The predicted salary is between 36000 - 60000 ÂŁ per year.
The quantitative Analysis Division is the front office quant team within the Global Markets (GM) division. We are a small team but cover a broad range of products spanning several asset classes including Fixed Income, Credit and Commodities.
This is a junior to mid-level position. The focus in this role leans towards a quant who can leverage technology (possibly including AI) to automate several tasks. The initial focus will mostly be on the automation of model performance monitoring and several other requirements introduced by the recent deployment of SS1/23 regulations. The other main focus in this role would be to assist in the day-to-day “desk quant” tasks which involve supporting/writing/debugging the in-house library both via Excel but also via vendor systems. We also support all GM’s third-party trading platforms.
What you’ll be doing:
- Assist in devising a remediation plan and eventual implementation of all GM in-scope models to ensure SS1/23 compliance.
- Discuss, formulate, validate and assist in proposing GM inspired new products/curves/models and present to our internal risk department.
- Document and test models (both within the QAD library and third-party vendor models).
What you’ll need to be successful:
- A good knowledge of programming languages (Python, C++) and how to work with external API’s.
- An understanding of pricing, calibration of models, curve stripping and pricing basic financial products.
- An understanding of financial (mostly derivative) products, in particular, interest rate swaps/FX options/credit default swap/commodity swaps.
- Ability to learn new trading systems and intelligently “guess” the system behaviour.
- Maths or science-based degree preferably at a Masters level.
- Experience in the Murex trading platform would be an advantage but not a requirement.
- Logical, diligent and able to communicate with FO, IT, Risk and project boards.
Front Office Cross Asset Quant Analyst (London Area) employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Cross Asset Quant Analyst (London Area)
✨Tip Number 1
Familiarise yourself with the SS1/23 regulations and how they impact model performance monitoring. Understanding these regulations will not only help you in your role but also demonstrate your proactive approach to compliance during discussions.
✨Tip Number 2
Brush up on your programming skills, especially in Python and C++. Consider working on small projects or contributing to open-source initiatives that involve financial modelling or automation to showcase your technical abilities.
✨Tip Number 3
Network with professionals in the finance and quant analysis sectors. Attend industry events or webinars where you can meet people who work in similar roles, as they might provide insights or even referrals for positions like the one at StudySmarter.
✨Tip Number 4
Gain a solid understanding of financial products, particularly derivatives like interest rate swaps and FX options. This knowledge will be crucial when discussing model calibration and pricing during interviews, showing that you are well-prepared for the role.
We think you need these skills to ace Front Office Cross Asset Quant Analyst (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, programming languages like Python and C++, and any familiarity with financial products. Emphasise your ability to automate tasks and your understanding of model performance monitoring.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the job requirements, particularly your experience with financial derivatives and your problem-solving abilities in a quant environment.
Showcase Relevant Projects: If you have worked on projects involving automation, model testing, or financial product analysis, be sure to include these in your application. Provide specific examples that demonstrate your technical skills and your ability to work with trading systems.
Highlight Communication Skills: Since the role involves collaboration with various teams, emphasise your communication skills in both your CV and cover letter. Mention any experience you have in working with front office, IT, and risk departments to showcase your ability to liaise effectively across functions.
How to prepare for a job interview at Morgan McKinley
✨Brush Up on Your Programming Skills
Make sure you're comfortable with Python and C++. Be prepared to discuss your experience with these languages, especially in the context of automating tasks or working with APIs. You might even be asked to solve a coding problem during the interview.
✨Understand Financial Products Inside Out
Familiarise yourself with derivatives, particularly interest rate swaps, FX options, and credit default swaps. Being able to explain how these products work and their pricing will show that you have the necessary financial knowledge for the role.
✨Demonstrate Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in the past, especially those involving model performance monitoring or compliance issues. This will highlight your logical thinking and diligence, which are crucial for this position.
✨Communicate Effectively
Since you'll be interacting with various teams like FO, IT, and Risk, practice articulating your thoughts clearly. Be ready to discuss how you would approach collaboration and communication in a team setting, as this is key to success in the role.
