At a Glance
- Tasks: Conduct in-depth quantitative analysis and develop predictive models for market insights.
- Company: Join RGG Capital, a leader in data-driven investment strategies.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and career advancement.
- Why this job: Make an impact in finance by transforming data into actionable insights.
- Qualifications: Degree in a quantitative field and experience in financial analytics required.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Quantitative Analyst to join our data-driven research team focused on leveraging alternative data and sentiment analysis for market insights. This role emphasizes in-depth quantitative research, model development, and rigorous backtesting of signals to drive actionable strategies. The ideal candidate will have a passion for financial markets and expertise in transforming raw data into clear, data-informed insights.
Key Responsibilities
- Conduct comprehensive quantitative analysis of hedge fund returns, risk metrics, and factor exposures to evaluate manager skill and strategy persistence.
- Develop and maintain proprietary analytical frameworks to decompose hedge fund performance, identify style drift, and assess risk-adjusted returns across market cycles.
- Perform detailed attribution analysis to validate managers' stated investment processes and verify alignment with reported results.
- Build and maintain risk factor models to evaluate strategy correlations, beta exposures, and potential portfolio overlaps across our manager universe.
- Analyze portfolio-level characteristics including liquidity profiles, position-level concentration, and counterparty exposures.
- Provide quantitative support to the CIO for manager evaluation and ongoing monitoring.
- Create detailed analytical reports for the investment committee, synthesizing complex quantitative findings into actionable insights.
- Acquire, clean, and normalize various alternative datasets (e.g., sentiment, social media, and ESG sources).
- Develop and refine predictive models and signals using time-series analysis, statistical modeling, and machine learning.
- Create robust backtesting frameworks to evaluate model performance and incorporate transaction cost or market impact.
- Build and monitor risk models, conduct stress testing under different market scenarios.
- Document and present research findings, methodologies, and performance metrics to stakeholders.
Required Qualifications
- Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- 1+ year of experience in quantitative research, data science, or analytics within financial services (buy-side or sell-side).
- Proven track record of building and validating quantitative models in real-world market environments.
- Proficiency in Python for data analysis (pandas, numpy, scipy) and modeling (statsmodels, scikit‑learn).
- Experience with databases (SQL or NoSQL) and large-scale data processing frameworks.
- Familiarity with statistical techniques (time-series analysis, regression, factor modeling, signal processing).
- Solid understanding of financial market structure, pricing, and liquidity.
- Knowledge of key asset classes (equities, fixed income, or derivatives).
Preferred Qualifications
- Advanced degree (Master’s/PhD) in a quantitative field (Financial Engineering, Statistics, or similar).
- Experience analyzing sentiment or alternative data (news feeds, social media, ESG, etc.).
- Background in machine learning, deep learning, or NLP for financial forecasting.
- Familiarity with cloud computing environments (AWS, GCP, or Azure) for large-scale data processing.
- Experience with portfolio optimization, risk analytics, or factor investing.
Quantitative Analyst (Fully Remote) in England employer: RGG Capital
At RGG Capital, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive in a fully remote environment. With a strong emphasis on professional development, we offer extensive growth opportunities through mentorship and access to cutting-edge resources, ensuring that our Quantitative Analysts can excel in their roles while contributing to innovative market insights. Join us to be part of a forward-thinking team that values data-driven decision-making and encourages collaboration across diverse perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst (Fully Remote) in England
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RGG Capital!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Analyst (Fully Remote) at RGG Capital.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RGG Capital.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Analyst (Fully Remote) at RGG Capital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Analyst (Fully Remote) in England
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 RGG 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 RGG 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 RGG 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 RGG 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.
