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- Tasks: Build data structures and automate processes for investment portfolio analysis.
- Company: Join a leading investment firm with a focus on innovation and collaboration.
- Benefits: Gain valuable experience, competitive pay, and opportunities for professional growth.
- Other info: Fast-paced environment with opportunities to learn and grow your career.
- Why this job: Make an impact in finance by working with cutting-edge data analytics tools.
- Qualifications: Strong Python skills and ability to work in cross-functional teams.
The predicted salary is between 50000 - 70000 £ per year.
The Investment Data Developer will join the Group Investment Office with the objective to enable the successful delivery and analysis of asset data, to meet the needs of investment portfolio oversight and steering. The role-holder will work alongside the Investment Data Engineer and both will be responsible for building the data structure, feeds, analytics and process automation, while partnering with stakeholders across Athora teams to take part in portfolio oversight and risk management and work closely with Apollo’s investment and data analytics teams.
Key Responsibilities & Contribution Areas
- Collaborate across Athora Group and Apollo with stakeholders including Actuarial, Risk and Investments to understand team needs and translate them into technical specification for the data architecture for structured and unstructured data.
- Support internal and external stakeholders in setting up the data system.
- Define the data feeds needed (market data, report outputs, other) taking into account the needs of stakeholders, and establish these data feeds through necessary workflows.
- In collaboration with Athora’s enterprise architecture team, implement a workflow management tool to capture investment related processes in a robust application with relevant controls and audit trail.
- Develop automated portfolio analysis and reporting for Athora teams based on robust Python analytics delivered through PowerBI or other relevant user interfaces.
- Business partner with Athora teams (e.g. Investments, Risk, or other) on data analyses required as part of portfolio oversight and risk management/monitoring, including one-off analysis related to specific market developments.
- Continuously adapt and evolve the portfolio analysis and reporting toolkit.
Personal Capabilities Required
- Demonstrated ability to build strong, effective business partnerships across diverse stakeholder groups.
- Excellent interpersonal and communication skills, with the ability to influence and collaborate effectively at all levels.
- Proven ability to operate at pace and excel within a fast‑moving, dynamic environment.
- Resilience and composure under pressure, with the ability to manage multiple priorities simultaneously.
- Highly structured and organised approach to work, with strong discipline in execution and follow‑through.
Functional Or Technical Knowledge And Skills Required
- Excellent command of Python coding in a production-quality disciplined, controlled environment.
- Demonstrated ability to work in a cross-functional team environment.
- Strong communication skills with the ability to decomplexify technical terms to non-technical business teams across Athora.
- Data analysis skills – ability to conduct quantitative data analysis from investment and market data.
- Proficiency with database systems.
- Experience with AI tooling across structured and unstructured data, ideally within the Snowflake or Databricks environments.
- Familiarity with key financial market issues, ideally in credit and interest rates.
Apply By 10-05-2026
Investment Data Developper employer: Athora
Contact Detail:
Athora Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Developper
✨Tip Number 1
Network like a pro! Reach out to folks in the investment and data analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews by brushing up on your Python skills and understanding the latest trends in data analysis. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data analysis or automation projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Investment Data Developper
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Investment Data Developer role. Highlight your Python skills, data analysis experience, and any relevant projects that showcase your ability to work with structured and unstructured data.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Mention specific experiences where you've collaborated with stakeholders or developed automated reporting tools, and show us your passion for investment data.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Whether it’s your command of Python or familiarity with database systems like Snowflake, make sure we see how your skills align with our needs.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Athora
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of Python and data analysis techniques. Be ready to discuss how you've used these skills in past projects, especially in a fast-paced environment. This will show that you can hit the ground running.
✨Understand Stakeholder Needs
Familiarise yourself with the different teams you'll be collaborating with, like Actuarial and Risk. Think about how you can translate their needs into technical specifications. Being able to demonstrate this understanding will set you apart.
✨Showcase Your Communication Skills
Prepare to explain complex technical concepts in simple terms. Practice how you would communicate your ideas to non-technical stakeholders. This is crucial for building strong partnerships across diverse groups.
✨Be Ready for Scenario Questions
Expect questions about how you would handle multiple priorities or pressure situations. Have examples ready that showcase your resilience and structured approach to problem-solving. This will highlight your ability to thrive in a dynamic environment.