At a Glance
- Tasks: Develop pricing and risk management frameworks using C# in a collaborative environment.
- Company: Source Technology Limited, a leader in financial technology solutions.
- Benefits: Competitive salary, bonuses, and comprehensive benefits package.
- Other info: Hybrid role in London with opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the finance sector with your coding skills.
- Qualifications: Advanced degree in maths, physics, or engineering; strong C# and pricing analytics experience.
The predicted salary is between 100000 - 120000 £ per year.
Source Technology Limited is seeking an experienced Quantitative Developer with strong C# expertise for their hybrid role in London. The candidate will collaborate with trading and risk teams to develop pricing and risk management frameworks.
Essential qualifications include:
- An advanced degree in mathematics, physics, or engineering
- Proven experience in pricing analytics and Excel-based solutions
The role offers a salary range of £100,000 to £120,000 per annum, plus bonuses and benefits.
FX Quant Developer (C#) – Pricing & Risk Analytics in London employer: Source Technology Limited
Source Technology Limited is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development and a competitive salary package that includes bonuses and comprehensive benefits. Join us to be part of a forward-thinking team that values your expertise and fosters a culture of excellence in pricing and risk analytics.
StudySmarter Expert Advice🤫
We think this is how you could land FX Quant Developer (C#) – Pricing & Risk Analytics in London
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We think you need these skills to ace FX Quant Developer (C#) – Pricing & Risk Analytics in London
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Source Technology Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Source Technology Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Source Technology Limited!
✨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.
