.png?1787142185)
AI Ops Senior Analyst
Fund Recs is an award-winning Irish Fintech, founded in 2013, dedicated to building the latest technologies to transform how data is managed, processed, and leveraged by the Funds industry.
Our no-code reconciliation and data transformation software takes on mundane, repetitive jobs and fully automates them, giving customers back valuable time to better serve their clients. Our platform supports over 5,000 users in more than 30 countries around the globe and we count some of the world’s largest financial services firms as clients. Industry leading fund administrators, depositories, audit firms, asset managers and 3rd party management companies trust Fund Recs’ software to deliver efficient solutions to mission critical problems across their businesses.
We’re going through a period of high growth and are just getting started. With our continuous investment in innovation and the deployment of new solutions, the opportunity in front of us is enormous. Our team is expanding and has a global footprint of more than 60 people. We have offices in Dublin, Waterford and New York and remote employees spread out from the west coast of North America all the way to Sydney.
Please note: This is a hybrid role, working 3 days per week from our Dublin office, we cannot facilitate fully remote working for this position. We cannot provide visa sponsorship for this role.
About the role:
Fund Recs is building a new kind of operations for the funds industry, combining operational expertise with technology, automation and AI.
Our teams work across data management, reconciliations, operational oversight, controls and exception management. Wherever possible, repetitive work is automated, allowing our people to focus on investigation, analysis and continuous improvement.
As an AI Ops Senior Analyst, you will take ownership of operational activity, help maintain a high standard of delivery and support the development of junior team members.
We’re passionate about delivering first-class support for our clients and ensuring their experience of working with us and our products is a positive one; we pride ourselves on ensuring we’re there for our clients when they need us. In this role you will have the opportunity to collaborate across diverse internal teams including Product, Engineering, Solutions Engineering and more. Working alongside these teams enables us to grow and expand our skillset and offers opportunity to move into these teams in time, we believe our career ladders do not have to be linear and multiple opportunities are provided to our team to grow and enhance their career.
What you’ll do:
AI & Continuous Improvement
- Identify repetitive activities that could be automated, simplified or improved.
- Test AI-assisted workflows, automation and new product functionality.
- Provide structured feedback on accuracy, usability and operational effectiveness.
- Identify recurring patterns that could be addressed through rules, workflows or automation.
- Work with AI, Product and Engineering teams to improve operational processes.
Operational Delivery
- Take ownership of operational activities across data, reconciliations, oversight, controls and exception management.
- Independently investigate and resolve operational issues and exceptions.
- Ensure work is completed accurately, on time and in line with agreed procedures and controls.
- Maintain clear documentation and audit trails for investigations and actions.
- Escalate complex, aged or material issues appropriately.
Data, Reconciliations & Oversight
- Review and analyse data received from clients and third parties.
- Investigate data quality issues, reconciliation differences and other exceptions.
- Perform and review reconciliations, controls and oversight activities.
- Identify recurring issues, trends and potential control weaknesses.
- Develop a strong understanding of how data and processes fit within the wider fund operating environment.
Quality & Mentoring
- Perform quality reviews over completed work and provide constructive feedback.
- Help ensure procedures and controls are applied consistently across the team.
- Support the training and development of Analysts and new team members.
- Share operational knowledge and investigation techniques.
- Act as a point of support for colleagues.
Client & Team Collaboration
- Communicate clearly with clients, internal stakeholders and third party data providers on operational matters.
- Provide concise updates on investigations, issues and outstanding actions.
- Work closely with Managers, Product, Engineering and AI teams.
- Support the onboarding of new clients, processes, data sources and controls.
The Profile
The Investigator: You enjoy understanding why issues happen and getting to the root cause.
The Owner: You take responsibility for work from start to finish.
The Improver: You look for better ways to perform repetitive or inefficient processes.
The Mentor: You enjoy helping less experienced colleagues develop.
The Technology Advocate: You are interested in how AI and automation can improve operational work.
What you’ll bring:
- 2–4 years' experience in fund administration, asset management, depositary, investment operations or a related financial services role.
- Experience across areas such as reconciliations, data operations, fund accounting, oversight.
- Ability to independently investigate and resolve operational issues.
- Client focused with strong relationship building and influencing skills
- Very organised with an exceptional attention to detail
- Flexible and adaptable with a solutions focused mindset
- Strong analytical, problem-solving and attention-to-detail skills
- Experience supporting or training more junior colleagues.
- An interest in process improvement, automation and AI.
- Strong written and verbal communication skills.
Our interview process typically involves the following:
• A 45 minute Teams call where we’ll ask you about your current and previous roles and explore some competency based questions with you.
• A second round in person interview to go through follow up questions.
• We may follow up with a final stage interview, to discuss any feedback before making a final decision.
We’re available at all stages to answer any questions that you have and to make sure that you have enough information about us 😊
Our Benefits
- 25 days annual leave in year 1, with an extra day per year of service up to 30 days
- 5% employer matched pension contribution
- Family Health Insurance coverage for you and your dependants through VHI
- Life Assurance Plan
- Equity scheme, so you can share in our success
- Professional Development budget up to €750 per year for short term learning opportunities
- Tuition reimbursement up to €3,500 towards higher education fees
- Career growth: we have a defined progression framework with regular promotion reviews – we want our people to grow with us!
- Gym membership: up to €350 per year towards a sports club subscription of your choice
- Employee referral scheme: generous cash bonus available for successful employee referrals
- Wellness: our team have access to an Employee Assistance Programme and we also run regular wellness talks for our team
- Home office set up; budget towards the purchase of home office equipment and full tech set up
- Generous paid leave for new parents
- Volunteering leave to support the local communities in which we live and work
- Peer led monthly lunch and learn sessions on topics suggested by our team
Diversity and inclusion are a priority for us, we embrace diversity in all its forms and our aim is for all team members to flourish and achieve their full potential. We are committed to a policy of Equal Employment Opportunity and will not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability or race. Treating people with respect, and providing equal opportunities for employment, growth and advancement is of the utmost importance to us.
Your privacy
Any information you submit through our job application process will be used for the purposes of assessing your fit for a role at Fund Recs. You can learn more about how your data is used and your rights in our privacy policy.
Apply for this job
*
indicates a required field
.png?1787141910)