Model Validation Analyst
100% skill overlap
Full profileYour role
A traded risk analyst covers the risks of trading activity across market risk and counterparty credit risk. The role measures VaR, expected shortfall, sensitivities and stress losses, monitors counterparty exposure such as potential future exposure, and supports regulatory capital under the Basel standards: FRTB (Fundamental Review of the Trading Book) for market risk and the CVA (credit valuation adjustment) risk framework, including SA-CVA, the standardised approach. It works with trading desks, XVA (valuation adjustments) teams, finance and model validation.
The analyst starts with the overnight runs for market and counterparty risk. After checking positions, market data and netting and collateral data, the analyst reviews VaR, expected shortfall and sensitivities by desk, and exposure profiles for the largest counterparties. Material moves are explained and limit breaches escalated. Mid-morning there may be a call with the desk about a large trade that increases exposure to one counterparty or a concentration in one risk factor. Part of the day goes to capital: the standardised and internal model approaches for market risk, risk factor eligibility tests, profit and loss attribution results, and CVA capital inputs. The analyst also reviews new products for risk capture and works with model validation when a methodology changes. In the afternoon come stress tests, wrong-way risk analysis, requests from auditors or supervisors, and the daily traded risk report with short, clear commentary.
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 | Produces daily market and counterparty risk reports with defined steps, checks data, explains simple moves and learns VaR, exposure measures and the Basel standards under supervision. | 0-2 | Banks: Analyst, Junior Analyst, Associate (asset servicing), Trainee, GraduateAsset servicers: Junior, Specialist (entry), Officer |
| L2 Independent | Owns traded risk coverage for a desk or counterparty segment, explains risk and capital results, handles limit breaches, trains new joiners and is first contact for desk and XVA questions. | 2-5 | Banks: Analyst / Senior Analyst, AssociateAsset servicers: Specialist, Senior Specialist, Senior Officer |
| L3 Senior or specialist | Works on FRTB and CVA capital methodology, risk factor eligibility and profit and loss attribution tests, reviews new products, and represents traded risk in projects, audits and supervisory reviews. | 5-9 | Banks: Senior Associate, AVP, Assistant ManagerAsset servicers: Senior Specialist, Expert, Team Lead (small team) |
| L4 Leads a team or an area | Leads a traded risk team, owns limits and risk appetite metrics for market and counterparty risk in its area, and is the escalation point for breaches, capital issues and trading heads. | 8-14 | Banks: VP, Manager, Senior ManagerAsset servicers: Team Lead, Manager, Head of Section |
| L5 Leads the function | Accountable for traded risk in a legal entity or region, sets the framework and risk appetite proposals for market and counterparty risk, and represents the function with the board and supervisors. | 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.
Large daily calculations, data checks and standard capital reports are increasingly automated, and machine learning is explored for faster exposure simulation and anomaly detection in risk data.
Large daily calculations, data checks and standard capital reports are increasingly automated, and machine learning is explored for faster exposure simulation and anomaly detection in risk data. The European Banking Authority notes rising AI use in EU banks with clear expectations on model governance. Value shifts to understanding methodologies, explaining capital and exposure changes, challenging desks and working with validation and supervisors. The World Economic Forum Future of Jobs Report 2025 lists analytical thinking and AI and big data among the fastest-growing skills, which favours analysts who combine regulation knowledge with Python and data skills.
The L3 salary range for this role, with its sources, will appear here when the salaries section opens.
Rules, products and terms this role works with are being added to the concepts.
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