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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: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Fast-paced environment with excellent career development opportunities.
- Why this job: Make an impact in finance with cutting-edge technology and collaborative teams.
- Qualifications: Strong Python skills and experience in data analysis 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 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
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
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've collaborated with cross-functional teams and tackled challenges in fast-paced environments. Practice makes perfect!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and letâs get you on board!
We think you need these skills to ace Investment Data Engineer
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the Investment Data Engineer 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. 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 Snowflake or Databricks, mention specific projects or outcomes. We want to see how you can bring value to our team right from the start.
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
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 in production-quality environments. Be ready to discuss specific projects where you've built data feeds or automated reporting.
â¨Understand the Business Context
Familiarise yourself with the financial market issues relevant to the role, especially around credit and interest rates. This will help you translate technical specifications into business needs during the interview. Show that you can decomplexify technical terms for non-technical stakeholders.
â¨Showcase Your Collaboration Skills
This role requires strong partnerships across various teams. Prepare examples of how youâve successfully collaborated with different stakeholders in the past. Highlight your interpersonal skills and how youâve influenced decisions in a cross-functional environment.
â¨Be Ready for Technical Questions
Expect questions about your experience with database systems and AI tooling, particularly in Snowflake or Databricks. Brush up on your data analysis skills and be prepared to discuss how youâve used automated reporting to drive insights in previous roles.