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For Companies At a Glance
- Tasks: Create innovative trading tools and quantitative models for diverse clients.
- Company: Bloomberg, a leader in financial market analytics and technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a team of experts to revolutionise trading strategies and make a real impact.
- Qualifications: MS in relevant field and 4+ years of financial industry experience required.
- Other info: Collaborative culture with a focus on innovation and career development.
The predicted salary is between 48000 - 72000 £ per year.
Location: London
Business Area: Product
We are Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two-person hedge fund - we are an integral part of the financial markets workflow in every corner of the world. We provide our users with up-to-the-millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of Bloomberg Terminal subscribers.
Our Trading Automation & Analytics team consists of physicists and mathematicians who built their careers with major asset managers, hedge funds and broker dealers across Equities, Fixed Income and FX trading. We see an opportunity in the financial industry to create advanced trading tools and to make the markets more efficient. The innovative decision support tools and state-of-the-art quantitative models we build help traders, portfolio managers, and CIOs to make important decisions across the buy-side and sell-side.
Our Quants are resourceful, adaptable and collaborative. They combine their technical skills and product knowledge to craft unsurpassed solutions for our customers. If you are a creative, open-minded, and results-oriented quant – keep reading.
What’s the role?
As a member of the Trading Research Quant team you will work with various asset classes, contributing to decision making and trading strategies. Trade Cost Analysis (TCA), Broker-Algo selecting tools, crowd-sourcing, market impact and trading optimizations are all part of this process.
We will trust you to:
- Create innovative frameworks and state-of-the-art quantitative models for a variety of our clients and job functions including traders, portfolio managers and CIOs.
- Participate in the full life-cycle workflow from hypothesis formulation, research and prototyping through to production release to clients.
You will need to have:
- MS in science/math/operations research/quant finance or equivalent experience
- Proven knowledge of calculus and stochastic processes
- 4+ years of financial industry experience in FX, Bonds, Equities or Futures
- Experience building advanced statistical methods
- Numerical programming experience in Python
We’d love to see:
- Expertise in market microstructure, trading algorithms and TCA
- Knowledge of Machine Learning Algorithms
- Solid programming experience, preferably with Python
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Senior Quant Analyst, Trading Decision Tools- Equities in London employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Analyst, Trading Decision Tools- Equities in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Bloomberg or in the trading analytics space. A friendly chat can give you insider info and might just lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your quantitative models or any relevant projects. This is your chance to demonstrate your expertise in Python and advanced statistical methods.
✨Tip Number 3
Ace the interview by practising common quant questions and case studies. We recommend simulating interviews with friends or using online resources to sharpen your responses.
✨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, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Quant Analyst, Trading Decision Tools- Equities in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Quant Analyst role. Highlight your quantitative skills, programming experience in Python, and any relevant financial industry experience to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about trading decision tools and how your background makes you a perfect fit for our team. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any relevant projects or research, make sure to mention them! Whether it's building statistical models or developing trading algorithms, we want to see what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Bloomberg
✨Know Your Quant Skills
Make sure you brush up on your knowledge of calculus, stochastic processes, and advanced statistical methods. Be ready to discuss how you've applied these skills in real-world scenarios, especially in trading environments.
✨Showcase Your Programming Prowess
Since Python is a key requirement, prepare to demonstrate your programming skills. Bring examples of projects or models you've built, and be ready to explain your thought process and the impact of your work.
✨Understand the Financial Landscape
Familiarise yourself with the latest trends in equities, FX, and bonds. Being able to discuss current market conditions and how they affect trading strategies will show that you're not just a number cruncher but also a strategic thinker.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your analytical thinking and problem-solving abilities. Practice articulating your approach to tackling complex trading decisions and optimisations, as this will highlight your resourcefulness and adaptability.
