At a Glance
- Tasks: Support data operations and improve data quality in a dynamic investment environment.
- Company: Join Federated Hermes, a global leader in responsible investment management.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in a fast-paced role while developing your data analysis skills.
- Qualifications: Experience with data management tools and strong analytical skills required.
- Other info: Diverse and inclusive workplace committed to supporting all applicants.
The predicted salary is between 36000 - 60000 £ per year.
Location – London
About Federated Hermes
Federated Hermes, Inc. is a global leader in active, responsible investment management, with $871.2B in assets under management, as of October 31st, 2025. We deliver investment solutions that help investors target a broad range of outcomes and provide equity, fixed‑income, alternative/private markets, multi‑asset, and liquidity‑management strategies to more than 11,000 institutions and intermediaries worldwide. Our clients include corporations, government entities, insurance companies, foundations and endowments, banks, and broker/dealers. Headquartered in Pittsburgh, Federated Hermes has more than 2,000 employees in London, New York and offices worldwide.
Main Function of the role
Following the acquisition of Hermes Investments by Federated in 2018, strategic initiatives to harmonise processes and practices are a strong element of the global change agenda. This role will provide Investment Operations BAU and change management support within a programme of work designed to reinforce firm‑wide integration, create opportunities for commercial growth, and deliver operational efficiency improvements across the US and UK. Phase one of harmonisation is adoption of a consistent Trading Order Management System (OMS). Federated Hermes Limited will move from the current OMS to new Equity and Fixed‑Income OMS platforms consistent with the US office, creating a harmonised global model. A key component is to define and establish a consistent global data model and data support operating model. The role holder will provide day‑to‑day data operations coverage supporting the increased and more complex data operations model as we navigate creation of a uniform data architecture and migrate and consolidate data to support the future‑state operating environment.
Key Tasks & Responsibilities
- Develop strong relationships with key client and stakeholder groups including Investments, Risk, Business Development, Operations, and IT, in order to understand key needs and drivers and improve data services.
- Develop a detailed knowledge of business intelligence and reporting services mapping the data flows and quality management processes supporting delivery of data into investment decision making.
- Operate a robust set of data controls on data received from NT and market data vendors ensuring that data presented to end‑user applications is complete, accurate and timely.
- Ensure master data sets such as securities, accounts, share classes and counterparties are set up and maintained to a high standard.
- Operate all ‘business as usual’ activities in the team working towards expert level on majority.
- Maintain and build strong knowledge base on data elements of products and all asset classes.
- Perform root cause analysis of data exceptions, identifying actions that can be made to prevent recurrence such as improvements in source data, system processing or additional controls required.
- Maintain team procedures and other documentation such as process diagrams and data dictionaries to a high standard.
- Oversee delivery of work rota, checking for completion of all daily and monthly tasks, support training of other team members and checking of work performed by others.
- Challenge processes and continually improve data quality controls through an understanding of data content and its usage, business impact and risk.
- Contribute to data operations team on change initiatives and projects through proactive engagement with change teams, consideration of the impact of changes, early engagement in design, provision of subject‑matter expertise, planning and executing UAT.
Minimum Experience Required
- Previous experience using data management tools and investment management systems for example: MarkitEDM, EAGLE, thinkFolio, Charles River, Bloomberg.
- Strong data analysis capabilities using business intelligence tools, MS Excel or SQL.
- Knowledge of all major asset classes: equity, fixed income, derivatives and their data characteristics.
Candidate Profile
- Good written and oral communication skills.
- High attention to detail.
- Strong organisational skills, with the ability to prioritise and manage a number of activities concurrently.
- Good analytical and problem‑solving skills, capable of thinking logically, using initiative, and able to resolve complex operational challenges.
- Deadline and results focused; able to work and deliver solutions under time‑sensitive deadlines.
- Ability to coordinate functions with multiple stakeholders.
Diversity, Inclusion and Flexible Working
We believe in genuine opportunity, fairness, and respect for all applicants and aim to ensure that no current or prospective employee is subject to discrimination or treated less favourably on the basis of their disability, gender identity or expression, race, ethnicity, religion or belief, marriage or civil partnership, pregnancy and maternity, age, sex, or sexual orientation, or disability. We understand that applicants may have different needs and expectations related to their working arrangements and are committed to a discussion on flexible working. Please raise these with your Recruitment contact to discuss what type of arrangements can work for you and the role for which you are applying. We welcome applications from all eligible candidates, and we particularly encourage applications from qualified candidates who identify as women and/or are from a Black, Asian and Minority Ethnic background, as these groups are underrepresented throughout the financial services sector. We are a Disability Confident Employer and participate in the “Offer of Interview” scheme, intended to actively encourage applications from people with a disability or long‑term condition and offer an interview to those who meet the minimum criteria set out within this job description. You will need to let us know if you would like to opt in to this scheme by contacting Jessica Sheehan at or . You do not need to share details of your disability or long‑term condition. If you would benefit from alternative methods of applying or for workplace adjustments during the recruitment process, please also let us know by contacting Jessica Sheehan at or to discuss the support you need.
- Data Operations Analyst – Global Investment Operations (UK) 2-year FTC in England employer: Federated Hermes Limited
Contact Detail:
Federated Hermes Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land - Data Operations Analyst – Global Investment Operations (UK) 2-year FTC in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Federated Hermes on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Operations Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your data management tools knowledge. Familiarise yourself with systems like MarkitEDM and Bloomberg, and be ready to discuss how you've used them in past roles. Show us you know your stuff!
✨Tip Number 3
Practice your problem-solving skills! Think of examples where you've tackled complex operational challenges. We want to see how you approach issues logically and creatively, so come prepared with some solid stories.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team at Federated Hermes. Let’s get you that interview!
We think you need these skills to ace - Data Operations Analyst – Global Investment Operations (UK) 2-year FTC in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Operations Analyst role. Highlight relevant experience with data management tools and investment systems, as well as your analytical skills. 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 your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Attention to Detail: In this role, attention to detail is key. Make sure your application is free from typos and errors. A polished application shows us you care about quality and accuracy, which is super important in data operations.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the info you need about the role right there!
How to prepare for a job interview at Federated Hermes Limited
✨Know Your Data Tools
Familiarise yourself with data management tools and investment management systems mentioned in the job description, like MarkitEDM or Bloomberg. Be ready to discuss your experience with these tools and how you've used them to improve data quality or efficiency in previous roles.
✨Understand the Business
Research Federated Hermes and its operations thoroughly. Understand their investment strategies and how data plays a role in decision-making. This will help you demonstrate your interest in the company and show that you can contribute to their goals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving skills. Prepare examples of past challenges you've faced in data operations and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Showcase Your Communication Skills
Since the role involves liaising with various stakeholders, practice articulating complex data concepts in simple terms. Be prepared to discuss how you've communicated data insights to non-technical teams in the past, highlighting your ability to bridge the gap between data and business needs.