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- Tasks: Analyse investment decisions and identify patterns using data and behavioural science.
- Company: Join a leading asset manager focused on innovative decision-making processes.
- Benefits: Work in a forward-thinking team with opportunities for continuous improvement.
- Why this job: Make a real impact on investment strategies while developing your analytical skills.
- Qualifications: 7-8 years of data analysis experience, strong R coding skills, and a passion for behavioural finance.
- Other info: Submit your CV in Word format to apply.
The predicted salary is between 43200 - 72000 £ per year.
We’re working with a leading asset manager who are looking for an experienced Senior Data Analyst to join our Decision Analytics Team, working directly with Portfolio Managers and Analysts to analyse investment decisions, identify behavioural patterns, and drive continuous improvement in decision-making processes. This is a unique role at the intersection of behavioural science and data analytics, using a rich historical dataset to evaluate how investment decisions are made, and how they can be improved.
Key Responsibilities
- Analyse the decision-making behaviour of investment professionals using historical trading data and behavioural science techniques.
- Conduct deep-dive reviews of investment actions to highlight patterns, anomalies, and flags that may influence performance.
- Write and maintain clean, well-documented code in R to manipulate, analyse, and visualise investment and behavioural data.
- Develop behavioural diagnostics and signals that support post-trade review, strategy evaluation, and feedback loops.
- Produce clear, insightful reports that distil complex analyses into actionable insights for Portfolio Managers and Analysts.
- Collaborate with investment teams to embed findings into ongoing workflows and enhance investment processes.
- Continuously evolve the team’s frameworks for interpreting and improving decision quality.
What We’re Looking For
- 7–8 years of experience in data analysis, ideally in an investment management, trading, or decision analytics context.
- Strong coding and data analysis skills in R.
- Experience working with large, structured datasets — particularly trading, portfolio, or decision-tracking data.
- A solid understanding of behavioural finance or demonstrated interest in decision-making psychology.
- Excellent written and verbal communication skills; ability to convert data and analysis into clear, concise insights.
- Strong attention to detail, with a mindset focused on continuous improvement and collaborative problem-solving.
Why Join?
This role offers a rare opportunity to influence how investment decisions are made and reviewed at a firm-wide level. You’ll work in a forward-thinking team that blends behavioural insight with rigorous data analysis to help sharpen investment judgement and outcomes.
To apply, please submit your CV in word format to quantresearch@octaviusfinance.com
Senior Data Analyst – Decision Analytics Team employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
quantresearch@octaviusfinance.com
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst – Decision Analytics Team
✨Tip Number 1
Familiarise yourself with behavioural finance concepts and theories. Understanding how psychological factors influence investment decisions will give you an edge in discussions with the team and demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your R programming skills, especially in data manipulation and visualisation. Being able to showcase your coding abilities during interviews can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to drive decision-making improvements in previous roles. This will highlight your practical experience and ability to apply analytical insights effectively.
✨Tip Number 4
Network with professionals in the investment management field. Engaging with others who work in similar roles can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior Data Analyst – Decision Analytics Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in investment management or trading. Emphasise your coding skills in R and any experience with large datasets, as these are crucial for the role.
Showcase Your Skills: In your application, clearly demonstrate your understanding of behavioural finance and decision-making psychology. Provide examples of how you've applied these concepts in previous roles to analyse investment decisions.
Craft a Compelling Cover Letter: Write a cover letter that connects your experience with the key responsibilities of the role. Highlight specific projects where you analysed decision-making behaviour or produced insightful reports for stakeholders.
Proofread and Format: Before submitting your application, ensure that your documents are well-formatted and free of errors. A clean, professional presentation reflects your attention to detail, which is essential for this position.
How to prepare for a job interview at Octavius Finance
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analysed data in previous roles. Highlight your experience with large datasets and any relevant projects where you used R to derive insights, as this will demonstrate your technical proficiency.
✨Understand Behavioural Finance
Since the role intersects behavioural science and data analytics, brush up on key concepts in behavioural finance. Be ready to discuss how these principles can influence investment decisions and how you've applied them in your work.
✨Prepare for Technical Questions
Expect questions that test your coding skills in R. You might be asked to solve a problem or explain your approach to data manipulation and visualisation. Practising coding challenges beforehand can help you feel more confident.
✨Communicate Clearly
Your ability to distil complex analyses into actionable insights is crucial. Practice explaining your past projects in a clear and concise manner, focusing on the impact of your findings on decision-making processes.
