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- Tasks: Lead the development of advanced machine learning models for investment evaluation.
- Company: QuantumLight is a cutting-edge firm in venture capital and private equity.
- Benefits: Enjoy a full-time role with opportunities for growth and collaboration.
- Why this job: Make a real impact by identifying high-potential startups and shaping investment strategies.
- Qualifications: 2+ years in Quantitative Research, STEM degree, and strong ML and Python skills required.
- Other info: Join a dynamic team and explore innovative data sources to enhance predictive accuracy.
The predicted salary is between 42000 - 84000 £ per year.
As a Senior Quantitative Researcher, you will lead the creation, optimisation, and ongoing maintenance of advanced machine learning (ML) models, which are essential for evaluating investment prospects and forecasting their performance. You will delve into an extensive database comprising over 500 tested and analysed features, refining and expanding this set to enhance predictive accuracy, as well as generate new hypotheses that could serve as indicators of startup success. Ultimately, your expertise will be instrumental in formulating and executing strategies aimed at identifying startups with the potential to outperform market benchmarks, thereby driving our investment decisions.
Key Responsibilities Would Include:
- Alpha Generation. Own the entire pipeline: from generating an idea and assessing its viability, to code implementation and deployment.
- Investment portfolio research and optimisation.
- Model enhancement and in-depth feature analysis.
- Continuously create new features for startup success prediction and analyse the impact of each feature on the model.
- Research reporting.
- Investment data collection and organisation.
- Data Quality Control.
- Exploration of new and alternative data sources.
- Collaboration with the Data Science and Data Engineering teams.
Requirements:
- A minimum of 2 years of experience in a Quantitative Research role.
- A STEM degree, preferably in Mathematics or Physics.
- Proficiency in Machine Learning, Python programming, and a strong foundation in statistics.
- Familiarity with Spark feature construction pipelines.
- Knowledge of commonly used investment research sources, such as financial news websites, industry reports, and basic financial statements.
Senior Quantitative Researcher employer: QuantumLight
Contact Detail:
QuantumLight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and quantitative research. Being well-versed in current methodologies and tools will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the venture capital and private equity sectors. Attend industry events or join relevant online forums to connect with others who can provide insights or even referrals for the Senior Quantitative Researcher role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented machine learning models. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Research QuantumLight thoroughly. Understand their investment strategies and recent projects. Tailoring your conversation to align with their goals will show that you're genuinely interested in contributing to their success.
We think you need these skills to ace Senior Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, machine learning, and Python programming. Use specific examples that demonstrate your ability to create and optimise ML models, as this is crucial for the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and investment strategies. Mention how your background aligns with the responsibilities of the role, particularly in alpha generation and feature analysis.
Showcase Your Technical Skills: Clearly outline your proficiency in machine learning and statistics. If you have experience with Spark or other relevant tools, make sure to include that information, as it will set you apart from other candidates.
Highlight Collaborative Experience: Since the role involves collaboration with Data Science and Data Engineering teams, mention any past experiences where you worked in a team setting. This could include projects where you contributed to data quality control or explored new data sources.
How to prepare for a job interview at QuantumLight
✨Showcase Your Technical Skills
As a Senior Quantitative Researcher, you'll need to demonstrate your proficiency in machine learning and Python programming. Be prepared to discuss specific projects where you've implemented ML models and how you optimised them for better performance.
✨Understand the Investment Landscape
Familiarise yourself with the latest trends in venture capital and private equity. Being able to discuss current market conditions and how they impact investment strategies will show your depth of knowledge and interest in the field.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process clearly, especially when discussing feature analysis and model enhancement.
✨Highlight Collaboration Experience
Collaboration with data science and engineering teams is crucial in this role. Share examples of how you've successfully worked in cross-functional teams, focusing on communication and project outcomes.
