At a Glance
- Tasks: Analyse data, optimise trading performance, and develop innovative pricing strategies.
- Company: Join IG, a leading fintech with a global presence and a culture of innovation.
- Benefits: Enjoy competitive salary, flexible benefits, private medical cover, and generous holiday allowance.
- Other info: Hybrid working model with opportunities for personal growth and community involvement.
- Why this job: Make a real impact in a fast-paced trading environment using advanced quantitative methods.
- Qualifications: Strong Python skills, statistical knowledge, and experience in data-driven trading environments.
The predicted salary is between 50000 - 70000 £ per year.
So, who are we? IG is a FTSE 100 fintech operating across five continents, serving over 1.3m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses.
The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG – The Future Gets Built Here.
Your Team: Support the Quant team by delivering and maintaining the data and technology infrastructure that underpins quantitative analysis and trading strategies. This includes managing market data, databases, cloud technologies, and analytical tools to enable efficient research, modelling, and reporting across IG Group’s retail trading and investment platforms.
Your role in the Team's success: Join a high-performing Quant team at the forefront of quantitative trading, pricing, and risk management across IG Group’s global multi-asset OTC trading platform. Working closely with traders and developers, you will use large-scale market, pricing, and trade data to develop insights, optimise trading performance, and shape innovative pricing and hedging strategies. This role offers the opportunity to apply advanced quantitative methods, statistical modelling, and machine learning techniques within a fast-paced, data-driven trading environment, while contributing directly to the evolution of trading and execution models that drive commercial impact.
What you will do:
- Analyse large-scale pricing, tick, and trade data to identify opportunities for performance optimisation and revenue growth.
- Evaluate and recommend hedging strategies that minimise portfolio risk and return variance in a cost-efficient manner.
- Develop and maintain backtesting frameworks to validate quantitative models, trading strategies, and statistical findings.
- Produce high-quality data visualisations, analytics, and regular reporting to support trading decisions and market insights.
- Collaborate closely with traders, developers, and quantitative teams to deliver innovative pricing, hedging, and risk management solutions.
- Lead the specification and documentation of quantitative requirements, development initiatives, and reusable analytical frameworks.
Our Quant Analysts do not write production code in the hot path for pricing and execution, but provide critical well-researched quantitative analysis and creative input to support the development and enhancement of pricing and execution models.
Who you are:
- Strong Python programming skills with experience in data analytics, quantitative analysis, and model development.
- Advanced understanding of statistics, quantitative methods, and machine learning techniques.
- Experience using AI-assisted development tools and modern software engineering workflows.
- Degree in a mathematical, statistical, scientific, or related quantitative discipline; MSc preferred, or equivalent professional experience demonstrating strong statistical capability.
- Experience in market-making, proprietary trading, quantitative research, or similar data-driven trading environments is strongly preferred.
- Strong analytical, problem-solving, and communication skills, with the ability to present complex quantitative insights to both technical and non-technical stakeholders.
How we work: We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:
- Lead and Inspire: Drives trust, alignment, and enthusiasm
- Think Big: Focus on the problems that most impact commercial outcomes
- Champion the client: Understand and prioritise client's needs
- Deliver at pace: Push for fast, sustainable growth;
- Raise the bar: Take ownership, be accountable and share feedback
We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey.
The Perks: Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.
- Competitive salary
- Flexible Benefits Package on top of your salary (12%)
- Private medical cover for you and your family
- Life insurance
- Contribution to gym memberships
- 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total)
- The option to buy or sell holiday days.
- Unlimited access to the LinkedIn Learning Platform
- A comprehensive global and local onboarding process
- Employee-led LGBTQ+, Women’s, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture
- Option to participate and create ESG initiatives based on IG Brighter Future Fund
- Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
Join us for this exciting journey. Apply now!
Quantitative Analyst employer: IG Group
At IG, we pride ourselves on being a forward-thinking fintech that empowers our employees to tackle complex challenges with cutting-edge technology and resources. Our collaborative work culture, combined with tailored development programmes and a commitment to diversity, ensures that every team member has the opportunity to grow and make a meaningful impact. With a competitive benefits package and a focus on work-life balance, including flexible working arrangements and additional time off for community engagement, IG is an exceptional place to build your career as a Quantitative Analyst.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at IG on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and quantitative methods. Be ready to discuss how you've used these in real-world scenarios, especially in trading or data analysis.
✨Tip Number 3
Show off your analytical chops! Bring examples of your past work, like data visualisations or models you've developed. This will help you stand out and demonstrate your hands-on experience.
✨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 IG team.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your Python programming skills and any experience you have with data analytics. We want to see how your background aligns with the role of a Quantitative Analyst, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your experiences and how they relate to the job. We appreciate a well-structured application that makes it easy for us to see your potential.
Tailor Your Application:Make sure to customise your application for this specific role. Mention your understanding of quantitative methods and any relevant projects you've worked on. This shows us that you’re genuinely interested in joining our team at IG.
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’s super easy to do!
How to prepare for a job interview at IG Group
✨Know Your Numbers
As a Quantitative Analyst, you'll be dealing with complex data. Brush up on your statistics and quantitative methods before the interview. Be ready to discuss how you've applied these skills in past roles, especially in market-making or trading environments.
✨Showcase Your Python Skills
Make sure you can demonstrate your Python programming prowess. Prepare examples of how you've used Python for data analytics or model development. If you have experience with AI-assisted tools, highlight that too!
✨Prepare for Technical Questions
Expect technical questions that test your analytical and problem-solving abilities. Practice explaining your thought process clearly, as you'll need to present complex insights to both technical and non-technical stakeholders.
✨Understand IG's Culture
Familiarise yourself with IG's values and working model. They value diversity, collaboration, and innovation. Be prepared to discuss how you can contribute to their high-performance culture and align with their goals of driving commercial outcomes.
