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For Companies At a Glance
- Tasks: Build data structures and automate processes for investment portfolio analysis.
- Company: Join Athora, a leading provider in European savings and retirement services.
- Benefits: Dynamic work environment with opportunities for growth and collaboration.
- Other info: Collaborative culture that values innovation and teamwork.
- Why this job: Make an impact in investment data while working with cutting-edge technology.
- Qualifications: Strong Python skills and experience in data analysis required.
The predicted salary is between 50000 - 70000 ÂŁ per year.
Purpose of this role
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 Apolloâs 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 Athoraâs 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 fastâmoving, 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 followâthrough.
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 â 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.
Investment Data Developper in London employer: Athora Group
Contact Detail:
Athora Group Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Investment Data Developper in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the investment and data analytics space, especially those at Athora or Apollo. A friendly chat can open doors that a CV just can't.
â¨Tip Number 2
Show off your skills! If youâve got a portfolio of projects or a GitHub with your Python work, share it. Itâs a great way to demonstrate your coding chops and analytical prowess.
â¨Tip Number 3
Prepare for the interview by understanding the key financial market issues mentioned in the job description. Being able to discuss these topics will show youâre not just a techie but also a savvy investor.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Investment Data Developper in London
Some tips for your application đŤĄ
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 our team. Share specific examples of how you've collaborated with stakeholders and tackled challenges in fast-paced environments. Show us your personality!
Showcase Your Technical Skills: Donât just list your technical skills; demonstrate them! If youâve worked with tools like PowerBI or Snowflake, mention specific projects where you used these technologies to deliver results. We love seeing practical applications!
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 donât miss out on any important updates from us!
How to prepare for a job interview at Athora Group
â¨Know Your Data Inside Out
Make sure youâre well-versed in the types of data you'll be working with, especially in relation to investment portfolios. Brush up on your Python skills and be ready to discuss how you've used it in past projects, particularly for data analysis and automation.
â¨Understand Stakeholder Needs
Familiarise yourself with the various 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 successfully partnered with stakeholders in the past.
â¨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles, especially in fast-paced environments. Highlight how you managed multiple priorities and maintained composure under pressure, as this role will require resilience and adaptability.
â¨Communicate Clearly and Effectively
Practice explaining complex technical concepts in simple terms. Youâll need to demonstrate your ability to decomplexify information for non-technical teams, so think of examples where youâve successfully done this before.