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- Tasks: Develop and automate investment data systems while collaborating with diverse teams.
- Company: Join a leading investment firm focused on innovation and teamwork.
- Benefits: Gain valuable experience, competitive pay, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and career advancement.
- Why this job: Make an impact in finance by transforming data into actionable insights.
- Qualifications: Strong Python skills and a knack for data analysis are essential.
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 in London employer: Athora
Contact Detail:
Athora Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Developper in London
✨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
Show off your skills! Create a portfolio showcasing your Python projects or any data analysis work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for investment data roles and practice your responses. Don’t forget to highlight your ability to collaborate with diverse teams – that’s key!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. It shows initiative and helps us get to know you better right from the start.
We think you need these skills to ace Investment Data Developper in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Investment Data Developer role. Highlight your Python skills and any experience with data analysis or financial markets. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Don't forget to mention your ability to collaborate with diverse stakeholders, as that's key for us.
Showcase Your Technical Skills: Be specific about your technical skills in your application. If you've worked with database systems or AI tooling, let us know! We love candidates who can decomplexify technical terms for non-technical teams, so share examples of that too.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Athora
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data structures and analytics, especially in Python. Be ready to discuss how you've used these skills in past projects, as well as how you can apply them to the role at Athora.
✨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 and be prepared to share examples of how you've done this before.
✨Showcase Your Communication Skills
Since you'll need to explain complex data concepts to non-technical teams, practice simplifying your explanations. Bring examples of how you've successfully communicated technical information in the past to demonstrate your ability to connect with diverse stakeholders.
✨Prepare for Fast-Paced Scenarios
This role requires resilience and the ability to manage multiple priorities. Think of situations where you've thrived under pressure and be ready to share those experiences. Highlight your structured approach to work and how it helps you stay organised in a dynamic environment.