At a Glance
- Tasks: Support development and validation of risk models in a dynamic financial environment.
- Company: Join a leading market portfolio risk analytics software firm.
- Benefits: Competitive salary, hybrid work model, and mentorship from experienced professionals.
- Other info: Great opportunity for fresh graduates to learn and grow in a supportive team.
- Why this job: Kickstart your career in finance with hands-on experience and impactful projects.
- Qualifications: MSc/PhD in Maths, Stats, Comp Sci or Physics; Python skills required.
The predicted salary is between 40500 - 49500 £ per year.
Junior Quant Analyst45k Hybrid 2 days in the office Quant Capital is urgently looking for a Junior Quant Analyst join our high profile client.
Our client is the world’s leading market portfolio risk analytics software businesses.
The primary purpose of the Quant Analyst is contributing to the development, validation, documentation, and ongoing maintenance of risk and return models.
To succeed in the role, you will be expected to build an in-depth knowledge of the wealth management industry and our solution, be a strong communicator and a self-starter focused on, ensuring the quality of support provided to clients is of high standards.
Day to Day you will: Support the development and enhancement of models including risk measures, volatility estimation, optimisation logic, and tolerance frameworks.
Assist with model validation through data analysis, back‑testing, and scenario testing, and structured validation checks.
Contribute to improvements in model performance, stability, and methodology.
Ensure model logic is accurately translated into platform behaviour and system calculations.
Support testing of new risk metrics, methodology updates, and platform enhancements, with a focus on strengthening automated testing and validation processes.
Work with structured financial and market data to support modelling activities.
Perform exploratory analysis to identify patterns, anomalies, or data quality issues.
Support mapping, classification, data-integration tasks contributing to data engineering activities over time.
Junior Quant Analysts must have: MSc / Ph D in Maths, Stats, Comp Sci or Physics Maths A Level Financial Products knowledge Python Some understanding of SQLThe role suits a fresh graduate or someone with sub 1 years experience.
You will be mentored by experienced Quants and gain extensive knowledge or the risk and portfolio management space.
My client is based in Central London Hybrid Working
Junior Quant Analyst in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
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We think this is how you could land Junior Quant Analyst in London
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We think you need these skills to ace Junior Quant Analyst 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Quant Capital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quant Capital. 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 Quant Capital
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 Quant Capital!
✨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.
