At a Glance
- Tasks: Develop and enhance data processing codebases and create impactful visualisations.
- Company: Join a leading fintech company with a global presence and innovative culture.
- Benefits: Competitive salary, flexible benefits, private medical cover, and generous holiday allowance.
- Other info: Enjoy tailored development programs and a vibrant, inclusive workplace culture.
- Why this job: Tackle complex problems and make a real impact in a fast-paced trading environment.
- Qualifications: Experience in data analysis, strong Python skills, and familiarity with cloud platforms.
The predicted salary is between 50000 - 70000 £ per year.
IG is a FTSE 100 fintech operating across five continents, serving over 1.3m customers and handling billions of dollars in transactions. We didn’t pivot to innovation; it has always been how we operate. That means genuinely complex problems to solve, technology and resources to tackle them properly, and a scope rarely seen in established businesses.
What You’ll Do
- Develop, maintain, and enhance codebases supporting data processing and quantitative analytics workflows.
- Design and manage scalable data pipelines for model ingestion, transformation, and distribution.
- Maintain repository workflows and automation processes, including CI/CD pipelines and deployment standards.
- Create data artefacts, dashboards, reports, and visualisations to support trading analysis and decision-making.
- Build and support primarily cloud‑based services and infrastructure used by traders and quantitative analysts.
- Provide ad hoc data analysis and reporting support to internal stakeholders, including Trading, Compliance, and Sales teams.
- Collaborate with cross‑functional teams to ensure reliable, accurate, and timely delivery of data solutions and analytics capabilities.
What You’ll Need For This Role
- Experience in data processing, data analysis, and data visualisation techniques.
- Strong programming skills in Python, with experience developing scalable and maintainable solutions.
- Familiarity with AI‑assisted software development and modern coding tools.
- Experience working with cloud platforms, preferably Google Cloud Platform (GCP).
- Preferred experience with workflow orchestration tools such as Airflow, containerisation technologies including Docker, and the management of data pipelines.
- Strong communication and collaboration skills, with the ability to work effectively across multiple stakeholder groups to understand business requirements and deliver data‑driven solutions.
- Ability to operate in a fast‑paced trading and analytics environment, supporting both technical and non‑technical teams.
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. 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
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
Quantitative Data Analyst employer: IG India
IG is an exceptional employer that champions innovation and collaboration, providing Quantitative Data Analysts with the opportunity to tackle complex problems in a dynamic fintech environment. With a strong focus on employee growth through tailored development programmes, mentoring, and a supportive work culture, IG fosters a diverse and inclusive atmosphere where every team member can thrive. Located in a vibrant city, employees enjoy a competitive salary, flexible benefits, and ample opportunities for community engagement, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at IG or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects or any cool analytics work you've done. This will help you stand out and demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding cloud platforms like GCP. Be ready to discuss how you've tackled complex data problems in the past – they love that!
✨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 at IG.
We think you need these skills to ace Quantitative Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Quantitative Data Analyst. Highlight your experience with data processing, Python programming, and any cloud platforms you've worked with. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how you can contribute to our innovative environment. Be sure to mention any relevant projects or experiences that showcase your abilities.
Showcase Your Projects:If you've worked on any cool data projects, don’t hold back! Include links to your GitHub or any dashboards you've created. We love seeing practical examples of your work and how you tackle complex problems.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy to do!
How to prepare for a job interview at IG India
✨Know Your Data Tools
Make sure you brush up on your programming skills, especially in Python. Be ready to discuss your experience with data processing and visualisation techniques, as well as any cloud platforms you've worked with, particularly Google Cloud Platform. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've solved in previous roles. Use specific examples that highlight your ability to design scalable data pipelines or automate processes. This will demonstrate your analytical thinking and how you can contribute to IG's innovative environment.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining technical concepts in a way that non-technical stakeholders can understand. Think of examples where you've successfully communicated with different teams, as this will showcase your strong communication skills.
✨Embrace the Fast-Paced Environment
Be prepared to discuss how you've thrived in fast-paced settings before. Share experiences where you had to deliver results quickly while maintaining quality. This will align with IG's focus on delivering at pace and will show that you can handle the dynamic nature of trading and analytics.
