Model Validation Analyst
96% skill overlap
Full profileYour role
Also known as Financial risk manager · Bank risk manager · Budget and debt advisor · Financial risk analystand 1 more
Financial risk department manager
A market risk analyst measures and monitors the risk that a bank or investment firm loses money from moves in interest rates, credit spreads, foreign exchange, equity and commodity prices. The role produces daily risk measures such as VaR (Value at Risk), expected shortfall, stressed scenarios and sensitivities, checks them against limits, explains changes to traders and senior management, and supports regulatory capital calculations under the Basel market risk standards, known as FRTB (Fundamental Review of the Trading Book). It sits in the second line of defence.
The day starts with the overnight risk run. The analyst checks that positions, market data and scenarios loaded correctly, then reviews VaR, expected shortfall and sensitivities by desk. Large changes are explained: a new position, a market move or a data issue. Limit breaches are escalated to the trading desk head and recorded with the agreed action. Mid-morning the analyst discusses exposures with traders and challenges hedging assumptions where a risk looks larger than expected. Backtesting compares predicted risk with actual profit and loss and flags exceptions. The afternoon goes to stress testing, scenario design, new product reviews or requests from regulators and auditors. Some days involve capital figures under the standardised and internal model approaches, or work with model validation on a methodology change. The analyst uses risk systems, Excel, SQL and often Python, and writes short commentary for the daily risk report.
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 risk reports and limit monitoring with defined steps, checks data quality, explains simple VaR and sensitivity moves and learns products and risk measures under supervision. | 0-2 | Banks: Analyst, Junior Analyst, Associate (asset servicing), Trainee, GraduateAsset servicers: Junior, Specialist (entry), Officer |
| L2 Independent | Owns risk coverage for a desk or asset class, explains risk and backtesting results to traders, handles limit breaches, trains new joiners and is first contact for front office risk questions. | 2-5 | Banks: Analyst / Senior Analyst, AssociateAsset servicers: Specialist, Senior Specialist, Senior Officer |
| L3 Senior or specialist | Designs stress scenarios and methodology improvements, reviews new products, works on capital under the Basel market risk standards, and represents market risk in projects, audits and regulatory 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 market risk team or coverage area, owns the limit framework and risk appetite metrics for it, and is the escalation point for breaches and for discussions with trading heads. | 8-14 | Banks: VP, Manager, Senior ManagerAsset servicers: Team Lead, Manager, Head of Section |
| L5 Leads the function | Accountable for market risk in a legal entity or region, sets the framework and risk appetite proposals, and represents the function with the board, risk committees 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.
Risk runs, data checks and first drafts of risk commentary are increasingly automated, and generative AI tools can summarise drivers of risk changes.
Risk runs, data checks and first drafts of risk commentary are increasingly automated, and generative AI tools can summarise drivers of risk changes. The European Banking Authority notes rising AI use in EU banks alongside expectations for model governance and explainability. Value moves to interpretation: challenging traders, designing scenarios, understanding model limits and explaining results to committees. The World Economic Forum Future of Jobs Report 2025 lists analytical thinking and AI and big data among the skills growing fastest, so analysts who combine risk knowledge with Python and data skills gain the most.
The L3 salary range for this role, with its sources, will appear here when the salaries section opens.
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