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- Tasks: Join the Equity Investment Team to integrate data into investment strategies and generate insights.
- Company: A leading investment management firm in London focused on innovative financial solutions.
- Benefits: Collaborative environment, skill development opportunities, and direct experience with top investment professionals.
- Why this job: Influence investment strategies using advanced data science techniques in a dynamic industry.
- Qualifications: 3+ years in data science, proficiency in Python, R, or SQL, and experience with alternative data.
- Other info: Work closely with portfolio managers and analysts to drive impactful investment decisions.
The predicted salary is between 48000 - 72000 £ per year.
A leading investment management firm in London is looking for a Data Scientist to join their Equity Investment Team. The role involves integrating alternative data and analytics into investment strategies to generate alpha, working closely with portfolio managers and analysts.
Key Responsibilities:
- Lead research efforts with analysts and portfolio managers to integrate alternative data into investment strategies.
- Review reports and attend meetings to refine investment theses and provide new, data-driven insights.
- Analyse alternative datasets, build models, and create actionable signals to forecast key growth drivers and financial performance.
- Deliver data-driven insights to enhance current strategies and generate new investment ideas.
- Identify new data sources and develop predictive signals to uncover key growth drivers.
Requirements:
- 3+ years in data science or quantitative research, preferably in investment management.
- Proficiency in Python, R, or SQL. Experience in machine learning, predictive analytics, and handling large datasets.
- Experience with alternative data (e.g., social media, transaction data, satellite imagery).
- Ability to present complex insights to both technical and non-technical stakeholders.
- Strong team player, able to work cross-functionally with investment teams.
Why Join Them?
- You will have the chance to work alongside top-tier investment professionals and data scientists.
- The ability to apply advanced data science techniques to influence and drive investment strategies.
- Join a collaborative and supportive team where innovation and creativity are encouraged.
- Opportunities to develop your skills in a dynamic and fast-paced industry.
- Gain direct experience working with portfolio managers, analysts, and alternative data sources.
Please apply to quantresearch@octaviusfinance.com
Data Scientist employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network with professionals in the investment management sector. Attend industry conferences, webinars, or local meetups to connect with data scientists and portfolio managers. This can help you gain insights into the role and potentially get referrals.
✨Tip Number 2
Familiarise yourself with alternative data sources relevant to investment strategies. Research how social media sentiment, transaction data, and satellite imagery are used in decision-making. This knowledge will set you apart during discussions with potential employers.
✨Tip Number 3
Prepare to demonstrate your technical skills in Python, R, or SQL through practical examples. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to analyse large datasets and build predictive models.
✨Tip Number 4
Practice presenting complex data insights in a clear and concise manner. Tailor your communication style to suit both technical and non-technical audiences, as this is crucial for collaborating with cross-functional teams in the investment space.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and quantitative research, especially in investment management. Emphasise your proficiency in Python, R, or SQL, and any experience with alternative data.
Craft a Strong Cover Letter: Write a cover letter that showcases your understanding of the role and how your skills align with the company's needs. Mention specific projects where you've integrated alternative data into investment strategies or built predictive models.
Showcase Your Analytical Skills: In your application, provide examples of how you've analysed large datasets and delivered actionable insights. Highlight any experience presenting complex data to both technical and non-technical stakeholders.
Highlight Team Collaboration: Since the role requires working closely with portfolio managers and analysts, include examples of successful teamwork in your application. Demonstrate your ability to collaborate cross-functionally and contribute to a team environment.
How to prepare for a job interview at Octavius Finance
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, R, or SQL during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in relation to machine learning and predictive analytics.
✨Demonstrate Your Understanding of Alternative Data
Since the role involves integrating alternative data into investment strategies, be ready to discuss your experience with various types of alternative datasets. Share examples of how you've used social media, transaction data, or satellite imagery to derive insights.
✨Prepare for Cross-Functional Collaboration
As a Data Scientist, you'll need to work closely with portfolio managers and analysts. Prepare to discuss how you've successfully collaborated with different teams in the past and how you can communicate complex insights to both technical and non-technical stakeholders.
✨Bring Data-Driven Insights
Be ready to present some data-driven insights or ideas that could enhance current investment strategies. This will demonstrate your proactive approach and ability to generate new investment ideas based on your analysis.
