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- Tasks: Conduct in-depth quantitative analysis and develop predictive models using alternative data.
- Company: Eka Finance, a leading firm in research and analytics.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with a distributed team and explore innovative financial strategies.
- Why this job: Join a dynamic team and turn complex data into actionable insights that drive investment decisions.
- Qualifications: Master’s or PhD in a quantitative field and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Quantitative Analyst to join our research team in a fully remote capacity. The team focuses on extracting market-relevant insights from alternative data, sentiment indicators, and rigorous quantitative analysis. This role is research-intensive and hands-on, involving signal development, model validation, and systematic evaluation of investment ideas across multiple asset classes. The ideal candidate is intellectually curious, technically strong, and motivated to translate complex datasets into robust, decision-ready insights while working in a distributed environment.
Core Responsibilities
- Conduct in-depth quantitative analysis of hedge fund performance, including return decomposition, risk metrics, and factor exposures.
- Develop and maintain proprietary analytical frameworks to assess manager skill, performance persistence, and style consistency across market regimes.
- Perform attribution and factor-based analysis to evaluate alignment between managers’ stated investment processes and realised results.
- Build and maintain factor and risk models to analyse correlations, beta exposures, and portfolio overlap across the manager universe.
- Analyse portfolio-level characteristics such as liquidity profiles, concentration, leverage, and counterparty exposures.
- Provide quantitative support to the CIO for manager selection, due diligence, and ongoing monitoring.
- Produce high-quality analytical materials for the investment committee, translating complex quantitative results into actionable insights.
Broader Asset Class & Data Research
- Source, clean, and normalise alternative datasets, including sentiment, social media, and ESG data.
- Develop predictive models and signals using time-series analysis, statistical techniques, and machine-learning methods.
- Design and maintain robust backtesting frameworks, incorporating transaction costs and market impact.
- Build and monitor risk models and conduct stress testing across different market scenarios.
- Document research methodologies and clearly present findings to internal stakeholders.
Required Experience & Skills
- Master’s or PhD in Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
- Experience in quantitative research, data science, or analytics within financial markets (buy-side or sell-side).
- Proven ability to design, implement, and validate quantitative models using real-world market data.
- Strong proficiency in Python for research and modelling (pandas, numpy, scipy, statsmodels, scikit-learn).
- Experience working with large datasets and databases (SQL and/or NoSQL).
- Solid foundation in statistics, including regression, time-series analysis, factor modelling, and signal processing.
- Good understanding of financial market structure, pricing dynamics, and liquidity.
- Ability to work effectively in a remote, distributed research environment, managing priorities and collaborating across time zones.
Desirable Skills & Experience
- Experience working with sentiment, news, social media, or other alternative datasets.
- Background in machine learning, NLP, or other advanced modelling techniques applied to financial data.
- Familiarity with cloud-based data and research environments (AWS, GCP, Azure).
- Exposure to portfolio construction, risk analytics, or systematic factor-based strategies.
Quantitative Analyst – Research & Analytics (Remote) - Eka Finance employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst – Research & Analytics (Remote) - Eka Finance
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and analytics space on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative analysis projects. Use GitHub or a personal website to display your work with Python, machine learning models, and any cool data visualisations. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. Practice common quantitative analyst interview questions and think about how you can relate your experiences to the role at Eka Finance.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your analytical skills and experience with alternative datasets, and let’s get the conversation started!
We think you need these skills to ace Quantitative Analyst – Research & Analytics (Remote) - Eka Finance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience with quantitative research, data science, and any relevant projects that showcase your skills in Python and financial analysis.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for our team. Share your passion for extracting insights from data and how your background aligns with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to emphasise your technical prowess! Mention your experience with large datasets, statistical techniques, and any machine learning methods you've applied. We want to see how you can bring value to our research team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Numbers
As a Quantitative Analyst, you'll be expected to dive deep into data. Brush up on your statistical knowledge and be ready to discuss specific quantitative models you've worked on. Prepare examples that showcase your ability to analyse hedge fund performance and how you’ve used data to derive actionable insights.
✨Showcase Your Technical Skills
Make sure you're comfortable discussing your proficiency in Python and any relevant libraries like pandas or scikit-learn. Be prepared to explain how you've used these tools in past projects, especially in relation to building predictive models or conducting time-series analysis.
✨Demonstrate Your Research Process
Since this role is research-intensive, be ready to walk through your methodology for sourcing and cleaning alternative datasets. Discuss how you approach model validation and backtesting, and highlight any frameworks you've developed to assess manager performance or risk metrics.
✨Communicate Clearly
You’ll need to translate complex quantitative results into insights for stakeholders. Practice explaining your findings in simple terms, as if you were presenting to someone without a technical background. This will show your ability to communicate effectively in a remote environment.