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- Tasks: Join a team of macro Portfolio Managers to build and improve analytical models using Python.
- Company: BlueCrest is a leading firm dedicated to creating an inclusive work environment for all.
- Benefits: Enjoy equal opportunities and a diverse workplace culture that values your unique contributions.
- Why this job: This role offers hands-on experience in data analysis and model building, perfect for aspiring analysts.
- Qualifications: Bachelor’s/Master’s/PhD in Maths, Statistics, Physics, or Computer Science with strong Python skills required.
- Other info: Professional experience in data science or trading is preferred but not mandatory.
The predicted salary is between 48000 - 84000 £ per year.
Job Title: Quantitative Analyst
Location: London
Department: Rates
Permanent
Department overview:
The Quantitative Analyst role provides an opportunity to work in a team of experienced macro Portfolio Managers. You will be building and improving signal-generative models and market monitors using python and contributing to trade idea generation.
Role requirements:
- Build analytical models, and assist in the development of tools required by the team.
- Capability to apply comprehensive Statistical mathematics methods (such as Monte Carlo methods) in model building.
- Deep understanding of machine learning techniques (such as gradient boosting) to digest large data sets to produce valuable analytics.
- Probabilistic approach to analytics creation.
- Scenario analysis from outcome distributions.
- Develop, validate and maintain trade valuation, risk management and financial simulation models.
- Data Analysis: You will be managing, analysing and interpreting large data-sets to deliver research that will be helpful for trade idea formation.
- Building front end tools to help PMs with idea generation
Experience required:
- Bachelor’s/Master’s/PhD in Maths, Statistics, Physics, Computer Science or related courses from a leading university.
- Extensive modelling skills in Python coding language.
- Professional experience in a data science/statistics or a trading role is preferred
BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.
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Quantitative Analyst (Rates) employer: BlueCrest Capital Management
Contact Detail:
BlueCrest Capital Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst (Rates)
✨Tip Number 1
Make sure to showcase your experience with Python and any relevant projects you've worked on. Highlight specific models or tools you've built that demonstrate your analytical skills.
✨Tip Number 2
Familiarize yourself with the latest machine learning techniques, especially gradient boosting. Being able to discuss these methods in detail during an interview will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your understanding of statistical mathematics methods, particularly Monte Carlo simulations. Having practical examples ready can help illustrate your expertise.
✨Tip Number 4
Network with professionals in the finance and quantitative analysis fields. Engaging with others can provide insights into the role and may even lead to referrals for the position.
We think you need these skills to ace Quantitative Analyst (Rates)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Quantitative Analyst position. Familiarize yourself with key concepts like signal-generative models, Monte Carlo methods, and machine learning techniques.
Tailor Your CV: Highlight your relevant experience in data analysis, Python programming, and statistical modeling. Be specific about your projects and achievements that align with the job description.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in mathematics, statistics, or computer science makes you a great fit for the team.
Showcase Your Skills: If possible, include examples of your work or projects that demonstrate your analytical skills and experience with large data sets. This could be through a portfolio or links to relevant projects on platforms like GitHub.
How to prepare for a job interview at BlueCrest Capital Management
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any analytical models you've built. Highlight specific projects where you applied statistical methods or machine learning techniques, especially those relevant to financial markets.
✨Demonstrate Your Problem-Solving Ability
Expect questions that assess your approach to scenario analysis and risk management. Prepare examples of how you've tackled complex data sets and the outcomes of your analyses.
✨Understand the Company’s Culture
Research BlueCrest's values and commitment to inclusivity. Be ready to discuss how you can contribute to a diverse team and align with their mission in the finance sector.
✨Prepare for Behavioral Questions
Think about past experiences that demonstrate your teamwork and communication skills. Be ready to explain how you collaborate with portfolio managers and other stakeholders to generate trade ideas.
