Investment Data Manager

Investment Data Manager

Full-Time 60000 - 80000 € / year (est.) No home office possible
Pension Corporation

At a Glance

  • Tasks: Lead a team to manage and improve investment data processes and governance.
  • Company: Join a forward-thinking financial services firm with a focus on innovation.
  • Benefits: Enjoy competitive salary, private medical insurance, and 28 days' annual leave.
  • Other info: Great career growth opportunities and a collaborative culture await you.
  • Why this job: Shape the future of investment data and drive impactful change in a dynamic environment.
  • Qualifications: Experience in data management and strong analytical skills required.

The predicted salary is between 60000 - 80000 € per year.

We are seeking an experienced Investment Data Manager to lead a high-performing team of DataOps Analysts and play a pivotal role in shaping how investment data is processed, governed, prioritised, and delivered across the business. In this role, you will sit at the centre of our data governance framework and own the end-to-end coordination of the Investment Data Working Group (IDWG) on behalf of the Head of Data Governance. You’ll bring structure, clarity, and focus to key data initiatives, ensuring alignment with business priorities and driving meaningful outcomes.

Responsibilities

  • Manage a team of DataOps Analysts.
  • Act as a key operational link between Investments, Finance, and the Data Office, ensuring alignment and effective collaboration.
  • Drive continuous improvement and automation across investment data management practices.
  • Support Data Owners and Stewards in managing, defining, and maintaining high-quality data as part of BAU.
  • Partner with IT and external providers to deliver and manage scalable investment data products.
  • Contribute to the design and delivery of Investment data products led by the Data Office.
  • Strengthen and enhance data quality frameworks to maintain trust in data used across Investments and Finance.
  • Maintain robust IDWG governance, including documentation, wiki management, meeting outputs, and action tracking to completion.

Technical Attributes

  • Strong industry expertise across market, pricing, custodial, and positional data, including how it is used within Investments and Finance business functions.
  • Deep understanding of fixed income instruments, swaps, derivatives, and their associated data structures.
  • Solid grounding in data governance frameworks, policies, and standards.
  • Experience with investment platforms (e.g. Aladdin, Murex).
  • Familiarity with investment data management platforms such as Lusid, Markit EDM, Golden Source.
  • Working knowledge of data governance and lineage tools (e.g. Solidatus, IDQ, Collibra).
  • High proficiency in data analysis and reporting tools, including SQL, Python, Excel, Power BI, Cognos, and data quality tooling.

Personal Attributes

  • Excellent stakeholder engagement skills, with the ability to build and maintain strong relationships across business and technology teams.
  • Strong analytical capability, able to interpret large data sets, understand end-to-end processes, and identify root causes of data issues (including reviewing underlying code).
  • Highly effective at report writing, documentation, and presentations, tailoring outputs to suit different audiences.

In addition to a competitive base salary and the opportunity to participate in our annual, performance-related bonus plan, upon joining us here at Pension Insurance Corporation, you will get access to some great benefits, including private medical insurance, 28 days' annual leave (excluding bank holidays), a generous pension scheme and much more.

Investment Data Manager employer: Pension Corporation

At Pension Insurance Corporation, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As an Investment Data Manager, you will lead a talented team while enjoying comprehensive benefits such as private medical insurance, 28 days of annual leave, and a generous pension scheme, all within a culture that prioritises employee growth and meaningful contributions to the financial services sector.

Pension Corporation

Contact Detail:

Pension Corporation Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Investment Data Manager

Tip Number 1

Network like a pro! Reach out to your connections in the finance and data sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio that highlights your achievements in data management and analysis. Use real examples of how you've improved processes or driven outcomes in previous roles. This will give potential employers a clear picture of what you can bring to their team.

Tip Number 3

Prepare for interviews by researching the company and its data governance practices. Be ready to discuss how your experience aligns with their needs, especially in managing investment data. Tailor your responses to show that you understand their challenges and can offer solutions.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by showcasing your relevant experience and enthusiasm for the role.

We think you need these skills to ace Investment Data Manager

Data Management
Team Leadership
Data Governance
Investment Data Analysis
Stakeholder Engagement
Continuous Improvement
Automation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the Investment Data Manager role. Highlight your experience with data governance frameworks and managing teams, as well as any relevant tools you've used. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about investment data management and how your background makes you the perfect fit. Don't forget to mention specific projects or achievements that showcase your expertise.

Showcase Your Technical Skills:We love seeing candidates who are proficient in SQL, Python, and data analysis tools. Make sure to include examples of how you've used these skills in previous roles, especially in financial services. This will help us understand your technical prowess!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Pension Corporation

Know Your Data Inside Out

As an Investment Data Manager, you’ll need to demonstrate a solid understanding of investment data management practices. Brush up on your knowledge of market, pricing, custodial, and positional data, as well as fixed income instruments and derivatives. Be ready to discuss how these elements interact within the business functions.

Showcase Your Leadership Skills

Since you'll be managing a team of DataOps Analysts, it’s crucial to highlight your leadership experience. Prepare examples of how you've successfully led teams in the past, focusing on collaboration, continuous improvement, and driving outcomes. This will show that you can bring structure and clarity to the role.

Prepare for Technical Questions

Expect questions about your technical expertise, especially regarding data governance frameworks and tools like SQL, Python, and Power BI. Brush up on your knowledge of investment platforms such as Aladdin or Murex, and be prepared to discuss how you’ve used these tools to enhance data quality and governance.

Engage with Stakeholders

Strong stakeholder engagement skills are key for this role. Think of examples where you've built relationships across different teams. Be ready to discuss how you’ve effectively communicated complex data issues to non-technical audiences, tailoring your approach to suit their needs.