Investment Operations Analyst
92% skill overlap
Full profileYour role
Also known as ABOR Analyst · Aladdin Operations Analyst · IBOR Analyst · IBOR Specialistand 2 more
Investment Book of Record Analyst · Investment Data Analyst
An IBOR (investment book of record) and investment data analyst keeps the positions, cash and transaction data that portfolio managers, traders and risk teams use during the day accurate and complete. The role sits in asset managers, asset owners and outsourced investment operations providers. It reconciles the IBOR against the ABOR (accounting book of record) and custodian records, fixes breaks, applies corporate actions and keeps data controls documented.
The day starts before the investment desks open. The analyst checks that overnight loads from custodians, fund accountants and trading systems have arrived and that start-of-day positions agree with yesterday's close. Breaks are sorted by size and age: a missing trade, a corporate action booked on the wrong date, a currency balance that does not match the bank statement. Each break gets a cause and an owner. Mid-morning the analyst answers portfolio managers who see an unexpected position or cash figure, and traces the record back through its lineage. Later come new trades and late allocations, cash forecasts for the funds, and control checks on prices and reference data. The afternoon often includes work on a data quality dashboard, a new fund launch or a system migration test. Before leaving, the analyst confirms that critical breaks are closed or escalated and writes a short handover for colleagues in another time zone.
The EFO level names are the common scale; job titles differ between employers.
| Level | What the work looks like | Typical years | Typical job titles |
|---|---|---|---|
| L1 Starting out | Runs daily position and cash checks with a checklist, investigates simple breaks between IBOR, ABOR and custodian data, and learns the trade lifecycle and corporate action types under supervision. | 0-2 | Banks: Analyst, Junior Analyst, Associate (asset servicing), Trainee, GraduateAsset servicers: Junior, Specialist (entry), Officer |
| L2 Independent | Owns the daily IBOR control cycle for a set of funds, resolves breaks end to end with custodians and fund accountants, trains new joiners and is the first contact for portfolio managers' data questions. | 2-5 | Banks: Analyst / Senior Analyst, AssociateAsset servicers: Specialist, Senior Specialist, Senior Officer |
| L3 Senior or specialist | Handles complex instruments and exceptions, designs data quality rules and lineage documentation, and represents investment data in projects such as fund launches, platform migrations or new custodian onboarding. | 5-9 | Banks: Senior Associate, AVP, Assistant ManagerAsset servicers: Senior Specialist, Expert, Team Lead (small team) |
| L4 Leads a team or an area | Leads an investment data team or region, owns the control framework and key performance indicators, manages the relationship with outsourced providers and is the escalation point for material data incidents. | 8-14 | Banks: VP, Manager, Senior ManagerAsset servicers: Team Lead, Manager, Head of Section |
| L5 Leads the function | Accountable for investment data across the firm or a legal entity, sets the data operating model and standards, decides on platforms and outsourcing, and reports data risk to senior management and boards. | 12+ | Banks: Director, Executive Director, Managing Director, Head of functionAsset servicers: Head of Department, Director |
Each role lists its skills with a tier and a weight. The weights of one role add up to 100 percent.
Source: the EFO role catalogue, built from the ESCO classification and reviewed by the editors.
The percentage is the skill's share of the role; the bars are drawn relative to the anchor skill, which is shown full.
The work the role takes part in.
Automated reconciliation and matching tools already clear most routine position and cash breaks, and the European Banking Authority reports that financial firms increasingly use machine learning for data quality and anomaly detection.
Automated reconciliation and matching tools already clear most routine position and cash breaks, and the European Banking Authority reports that financial firms increasingly use machine learning for data quality and anomaly detection. Generative AI can draft break explanations and summarise custodian messages. Value shifts to work that needs judgement: deciding which data source is authoritative, designing controls and lineage, explaining exceptions to portfolio managers and testing new tools. The World Economic Forum Future of Jobs Report 2025 lists AI and big data as the fastest-growing skills, so analysts who combine data governance with SQL or Python gain the most.
The L3 salary range for this role, with its sources, will appear here when the salaries section opens.
Roles that need many of the same skills, by weighted skill overlap, with the skills you would need to add.
92% skill overlap
80% skill overlap
To add: Master data management
80% skill overlap
To add: Trade and transaction reporting
77% skill overlap
To add: Securities financing (repo and securities lending), Collateral and margining
53% skill overlap
To add: Collateral and margining, Derivatives and how they work, Trading and risk systems (Murex, Calypso)
52% skill overlap
To add: Accounting fundamentals (double entry), International accounting standards (IFRS), Risk judgment and escalation instinct