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- Tasks: Build data structures and automate processes for investment portfolio analysis.
- Company: Join Athora, a leading provider in European savings and retirement services.
- Benefits: Enjoy a competitive salary, dynamic work culture, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and personal development.
- Why this job: Make an impact in finance while working with cutting-edge technology and diverse teams.
- Qualifications: Proficient in Python, data analysis, and strong communication skills required.
The predicted salary is between 50000 - 70000 ÂŁ per year.
The Investment Data Engineer will join the Investment Shared Services team 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 Developer 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.
- Build âinboundâ asset feeds (investment and accounting books of record) from relevant systems.
- Build automated exceptions-based control checks.
- Build normalisation / standard processes for consistent asset data attributes across all business units.
- 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 on changing business needs and with technical teams as source systems evolve.
- 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, using automated reporting.
- 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 Engineer 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 Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the investment and data engineering space on LinkedIn. Join relevant groups, attend meetups, and donât be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data analysis or automation. This will give potential employers a taste of what you can do and set you apart from the crowd.
â¨Tip Number 3
Tailor your approach! When reaching out to companies like Athora, make sure to highlight how your experience aligns with their needs. Use specific examples from your past work that demonstrate your ability to collaborate and deliver results in a fast-paced environment.
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, it shows youâre genuinely interested in joining the team and contributing to their mission.
We think you need these skills to ace Investment Data Engineer in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Investment Data Engineer role. Highlight your Python skills and any experience with data analysis or financial markets. We want to see how your background aligns 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 sure to highlight your technical skills, especially in Python and any experience with database systems like Snowflake or Databricks. We love seeing candidates who can decomplexify technical terms for non-technical teams!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures youâre considered for the role. Plus, itâs super easy!
How to prepare for a job interview at Athora Group
â¨Know Your Data Inside Out
As an Investment Data Engineer, youâll be dealing with a lot of data structures and analytics. Make sure you brush up on your Python skills and understand how to manipulate data effectively. Familiarise yourself with the tools mentioned in the job description, like Snowflake or Databricks, so you can confidently discuss your experience with them.
â¨Understand the Business Context
Itâs crucial to grasp the financial market issues relevant to the role, especially around credit and interest rates. Research Athora and Apolloâs business model and how they operate within the investment landscape. This will help you articulate how your technical skills can meet their specific needs during the interview.
â¨Prepare for Technical Questions
Expect to face technical questions that assess your coding abilities and data analysis skills. Practice coding challenges in Python and be ready to explain your thought process. You might also be asked to decomplexify technical terms, so think about how you would explain complex concepts to non-technical stakeholders.
â¨Showcase Your Collaboration Skills
This role requires strong interpersonal skills and the ability to work across diverse teams. Prepare examples from your past experiences where you successfully collaborated with different stakeholders. Highlight how youâve built effective partnerships and navigated challenges in a fast-paced environment.