Investment Data Transformation Analyst

Investment Data Transformation Analyst

Full-Time 49500 - 60500 £ / year (est.) No working from home possible
U

At a Glance

  • Tasks: Lead high-quality data analysis and shape data capabilities in investment management.
  • Company: Join USS, a leading pension scheme for universities in the UK.
  • Benefits: Generous leave, pension scheme, health services, and personal development support.
  • Other info: Diverse and inclusive culture with excellent career growth opportunities.
  • Why this job: Make a real impact on data transformation in a dynamic environment.
  • Qualifications: Experience in investment management and strong analytical skills required.

The predicted salary is between 49500 - 60500 £ per year.

About the role

In your role as Senior Investment Data Analyst, you will make a meaningful and valued contribution from the outset.

This role will provide a great opportunity to be responsible for establishing, leading, and delivering high-quality data analysis across investment data.

The role combines hands-on analytical expertise with the opportunity to shape, support, and lead the advancement of data capabilities across the organisation.

You will play a key role in the technology and data transformation agenda, embedding new and enhanced data analysis capabilities, driving improved data usage, and supporting the organisation’s strategic data objectives.

What you will be doing

As a trusted part of the Operations team you will be responsible for

  • Shaping and establishing data analysis capabilities, formalising the activities within the Data Oversight team and the Data Strategy & Architecture Programme.
  • Leading the in-scope data analysis, managing priorities in conjunction with the Programme and Business-As-Usual data initiatives.
  • Contributing to programme delivery, particularly during implementation stages, helping to analyse, build, validate, and structure data in platforms such as an enterprise data lakehouse.
  • Translating business requirements into data requirements, and technical specifications, and support the testing of deployments within the data lakehouse.
  • Supporting the implementation of mastering systems, such as security master platforms and Investment Books of Records (IBOR), contributing to configuration, data model alignment, and integration into the wider architecture.
  • Evaluating market data inputs and usage across asset classes, including reference data, pricing, indices, to ensure completeness, quality, and efficient usage across the business, and where required, work with developers to integrate them into new platforms as part of the transition from legacy systems.
  • Supporting the migration of data from current to the target state architecture and operating model, performing data analysis, mapping back-to-front data sources, creating data flow diagrams and building out the data catalogue.
  • Conduct detailed market data optimisation activities, reviewing data usage patterns, identifying redundancies, and recommending data sets that can be rationalised or replaced.
  • Interrogating large amounts of data, assessing current-state vs. target-state data models, identifying gaps or discrepancies and collaborating with technology teams to resolve structural and quality differences.
  • Supporting members of the Data Oversight team as required, contributing to data governance, data architecture, data quality and broader data management activities.
  • Building a strong relationship with USS colleagues and develop close working relationships with third party service partners.

About you

  • Experience working in Investment Management, with a solid understanding of investment data structures, investment book of records (IBOR) concepts, market data sources and how these are used across front-to-back investment data lifecycle.
  • Hands-on experience with data mastering platforms, ideally having worked on the implementation or operations of security masters.
  • Strong understanding of market data and financial datasets, including knowledge of different asset classes and familiarity with data providers and services.
  • Practical experience in data quality processes, data controls, and familiarity with data governance and data architecture best practice.
  • Analytical mindset with high attention to detail, capable of interrogating complex data sets, identifying issues, and proposing practical solutions.
  • Experience working with modern data platforms, ideally exposure to data lakehouse architectures or similar technologies.
  • Foundational data modelling skills, and experience constructing data flow diagrams, mapping sources, and understanding back-to-front system architecture.
  • Proven stakeholder engagement and communication skills, able to work effectively with both technical and business teams.
  • Experience working within large programmes or change initiatives, ideally contributing to system implementations or major data transformation projects.
  • Proactive, detail-oriented, and self-motivated, with a hands‑on approach and ability to adapt quickly in a transforming data environment.
  • Excellent communication and interpersonal skills.
  • How we will reward you
  • Generous annual leave package
  • Access to a high quality pension scheme provided through Universities Superannuation Scheme
  • Supportive people policies (including enhanced occupational sickness pay and family friendly pay)
  • Financial contributions towards your personal development to help you maintain your physical and mental wellbeing
  • Access to a range of health and wellbeing services i. e., private healthcare, discounted gym membership
  • Learning and development opportunities to develop your skills, knowledge and talent
  • Employee Volunteer Day’s to support the communities where you work and live
  • Cycle to Work Scheme
  • Our culture and values

Our people are what makes us different.

We work together to create a diverse and inclusive culture that embraces individuality, where people are welcomed and feel comfortable in the knowledge that they can be themselves.

Our purpose firmly states the importance of members, putting them ‘front and centre’ of what we do.

This is embedded through our values

  • Integrity

About us

Universities Superannuation Scheme (USS) was established in 1974 as the principal pension scheme for universities and other higher education institutions in the UK.

We work with around 330 employers to help build a secure financial future for almost 577,000 members and their families.

We are one of the largest private defined benefit pension schemes in the UK, with total assets of around £76.8bn (at 31 March 2025).

To find out more, please visit https://www. uss. co. uk

USSIM is proud to be an equal opportunity employer.

We strive to ensure our recruitment process is as flexible and inclusive as possible so we can attract diverse candidates and recruit the best talent.

We want all candidates to perform at their best during the recruitment process, so if you need any reasonable adjustments or if there is anything we can do to help support you through your recruitment journey please let us know by contacting resourcing@uss. co. uk.

#J-18808-Ljbffr

Investment Data Transformation Analyst employer: Universities Superannuation Scheme Ltd

At USS, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work environment in the heart of London. Our commitment to employee growth is reflected in our generous benefits package, including a high-quality pension scheme, extensive learning opportunities, and a focus on wellbeing. Join us to make a meaningful impact while thriving in a culture that values integrity, collaboration, and excellence.

U

Contact Details:

Universities Superannuation Scheme Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Investment Data Transformation Analyst

Tap into Campus Networks

If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.

Get Certified

Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.

Connect on Professional Platforms

Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.

Apply Directly and Be Proactive

Don’t shy away from reaching out directly to firms like Universities Superannuation Scheme Ltd. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.

We think you need these skills to ace Investment Data Transformation Analyst

Data Analysis
Investment Data Structures
Investment Book of Records (IBOR)
Market Data Sources
Data Mastering Platforms
Data Quality Processes
Data Governance

Some tips for your application 🫡

Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.

Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Universities Superannuation Scheme Ltd.

Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.

Research and Reflect:Before hitting that 'apply' button on Universities Superannuation Scheme Ltd's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!

How to prepare for a job interview at Universities Superannuation Scheme Ltd

Brush Up on Financial Analysis Skills

Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Universities Superannuation Scheme Ltd.

Prepare for Case Studies

Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.

Show Your Passion for Finance

Since this is a full-time position, employers at Universities Superannuation Scheme Ltd will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.

Network with Industry Professionals

Before your interview, reach out to current or former Universities Superannuation Scheme Ltd employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.