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- Tasks: Join a top hedge fund as a Quant Developer, focusing on equity portfolio analytics.
- Company: Work with one of the world's leading hedge funds, known for its success and prestige.
- Benefits: Enjoy a competitive salary, bonuses, and a collaborative work culture.
- Why this job: Be part of a dynamic team, enhancing your skills in Python/R and big data technologies.
- Qualifications: 5+ years in development, strong Python/R skills, and excellent communication abilities required.
- Other info: Experience with Barra models and equities markets is a plus.
Salary: up to ~£250k annual TC
Experience: Minimum 5 years; also open to more senior candidates.
Fabulous opportunity for a talented QD to join one of the world’s most prestigious and successful hedge funds. Looking for an experienced engineer with a solid programming background in Python and/or R and outstanding communication skills, comfortable facing off to the business and liaising directly with Portfolio Managers and traders.
This role is focused primarily on the design and development of equity portfolio analytics frameworks, including MSCI Barra equity factor risk models. Working closely with the portfolio research team, you’ll build the necessary infrastructure for optimal extraction, transformation and loading of data from multiple sources using SQL and ‘big data’ technologies. Identifying improvements and designing solutions – automation, optimization, greater scalability – is second nature to you.
Skills and Experience Required
Desirable:
Benefits & Incentives
Quant Developer (Python/R) – Equity Models employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer (Python/R) – Equity Models
✨Tip Number 1
Network with professionals in the finance and tech sectors, especially those who work in hedge funds or equity markets. Attend industry events, webinars, or meetups to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Familiarise yourself with the latest trends in equity portfolio analytics and risk models. Being knowledgeable about tools like MSCI Barra and big data technologies will give you an edge during discussions with interviewers.
✨Tip Number 3
Prepare to demonstrate your programming skills in Python and R through practical examples. Consider working on personal projects or contributing to open-source projects that showcase your ability to solve complex problems.
✨Tip Number 4
Practice your communication skills by explaining technical concepts to non-technical friends or family. This will help you articulate your ideas clearly during interviews, especially when liaising with Portfolio Managers and traders.
We think you need these skills to ace Quant Developer (Python/R) – Equity Models
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and R, as well as your knowledge of equity portfolio analytics. Include specific projects or roles that demonstrate your programming skills and familiarity with SQL and big data technologies.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience in the buy-side or sell-side environment and how it aligns with the responsibilities of the Quant Developer position. Be sure to showcase your communication skills and ability to work with Portfolio Managers and traders.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving equity factor risk models or big data analytics, be sure to include them in your application. This will help demonstrate your practical experience and problem-solving abilities.
Proofread Your Application: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and R in detail. Bring examples of projects you've worked on, especially those involving equity models or data analytics, to demonstrate your technical prowess.
✨Understand the Business Context
Familiarise yourself with the hedge fund's operations and how quantitative development fits into their strategy. This will help you articulate how your skills can directly benefit their portfolio management and trading processes.
✨Communicate Clearly
Since the role requires liaising with Portfolio Managers and traders, practice explaining complex technical concepts in simple terms. This will showcase your communication skills and ability to work collaboratively across teams.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges or case studies during the interview. Brush up on algorithms, object-oriented design, and SQL queries, as these are likely to be focal points in assessing your problem-solving abilities.
