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- Tasks: Build and enhance data-driven models for investment evaluations using data science techniques.
- Company: Join a leading global hedge fund focused on innovative financial solutions.
- Benefits: Work in a dynamic environment with opportunities for growth and cutting-edge projects.
- Why this job: Be at the forefront of finance and technology, impacting investment strategies with your skills.
- Qualifications: Master’s or PhD in STEM; strong Python skills and experience in model building required.
- Other info: Engage in exciting generative AI initiatives within a collaborative team.
The predicted salary is between 48000 - 84000 £ per year.
Posted by Raj Deu, Managing Director: Executive Search
My client is a global hedge fund seeking a data scientist to assist in the building and enhancement of models used for evaluation of investment opportunities. The successful candidate will leverage a range of techniques from data science and machine learning. The key areas of focus are developing and enhancing data-driven models from scratch for structured transaction evaluations.
Responsibilities
- Build and maintain a data-driven framework for deal origination analytics.
- Work with the deal team to use data & quantitative techniques to evaluate credit fundamentals.
- Work on generative AI initiatives within the firm.
Qualifications:
- Master’s or PhD in a STEM field from a top-tier university.
- Experience building models from scratch.
- A deep understanding of probability, statistics, and predictive modelling.
- Expertise in Python, in particular numpy, pandas, sklearn, scipy, statsmodels.
- Experience in financial or econometric modelling and generative AI.
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Associate, Data Scientist, Hedge Fund, London employer: JMD Reg Consultancy LTD
Contact Detail:
JMD Reg Consultancy LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate, Data Scientist, Hedge Fund, London
✨Tip Number 1
Make sure to showcase your experience with building models from scratch. Highlight specific projects where you've successfully developed data-driven frameworks, especially in finance or econometrics.
✨Tip Number 2
Familiarize yourself with the latest trends in generative AI and be prepared to discuss how you can apply these techniques within the hedge fund context. This will demonstrate your proactive approach and relevance to the role.
✨Tip Number 3
Network with professionals in the hedge fund industry, particularly those who work in data science roles. Engaging in conversations can provide insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 4
Prepare to discuss your proficiency in Python and relevant libraries like numpy, pandas, and sklearn. Be ready to explain how you've used these tools in past projects to solve complex problems, as this is crucial for the role.
We think you need these skills to ace Associate, Data Scientist, Hedge Fund, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building models from scratch, particularly in data science and machine learning. Emphasize your expertise in Python and any relevant projects that showcase your skills in financial or econometric modeling.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the hedge fund industry. Discuss how your academic background (Master’s or PhD) and your technical skills align with the job requirements, especially your understanding of probability, statistics, and predictive modeling.
Showcase Relevant Projects: If you have worked on projects involving generative AI or deal origination analytics, be sure to include these in your application. Provide specific examples of how you applied data-driven techniques to solve real-world problems.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in the finance sector. A polished application reflects your professionalism and commitment.
How to prepare for a job interview at JMD Reg Consultancy LTD
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and the specific libraries mentioned in the job description, such as numpy, pandas, and sklearn. You might be asked to solve a technical problem or explain how you've built models from scratch in previous roles.
✨Demonstrate Your Understanding of Financial Concepts
Since the role involves evaluating credit fundamentals, brush up on key financial concepts and be ready to discuss how data science can enhance investment decisions. Showing that you can bridge the gap between data science and finance will set you apart.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, especially since you'll be working closely with the deal team. Think of examples from your past experiences where you successfully collaborated on projects or overcame challenges.
✨Discuss Generative AI Initiatives
Given the focus on generative AI within the firm, be ready to talk about any relevant projects or research you've done in this area. Highlight your understanding of how generative AI can be applied in finance and investment strategies.
