At a Glance
- Tasks: Develop models for automating pricing and risk management in FX products.
- Company: Join Citigroup Inc., a leading global financial services company.
- Benefits: Enjoy a hybrid working model, competitive salary, and 27 days of holiday.
- Other info: Exciting opportunity for career growth in a dynamic team.
- Why this job: Make an impact in the FX market with innovative quantitative modelling.
- Qualifications: Strong programming skills in Python, Java, and SQL required.
The predicted salary is between 60000 - 80000 £ per year.
Citigroup Inc. is seeking a Quantitative Analyst to join the FX Algo Quant team in London. This role focuses on FX Swaps and curve construction, involving the development of models to automate pricing and risk management for FX products.
The ideal candidate will have strong programming skills in Python, Java, and SQL, with relevant experience in quantitative modeling.
Benefits include a hybrid working model, competitive salary, and a generous 27-day holiday allowance.
FX Algo Quant Analyst — Hybrid & Impactful Modelling employer: Citigroup, Inc.
Citigroup Inc. is an excellent employer, offering a dynamic work environment in London where innovation meets impact. With a hybrid working model, competitive salary, and a generous 27-day holiday allowance, employees are empowered to achieve a healthy work-life balance while engaging in meaningful projects that drive the future of FX trading. The company fosters a culture of growth and collaboration, providing ample opportunities for professional development and advancement within the financial sector.
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We think this is how you could land FX Algo Quant Analyst — Hybrid & Impactful Modelling
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We think you need these skills to ace FX Algo Quant Analyst — Hybrid & Impactful Modelling
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
