Job description
Financial Risk Specialists
Job purpose
To analyse and measure exposure to credit and market risk threatening the assets, earning capacity and economic position of the organisation, and to document and communicate those risks and recommend ways of limiting them, so that decision-makers understand the risks being carried and can act on them.
Skills
- Knowledge of financial markets, credit and market risk measurement, valuation and securities analysis, and of statistical and econometric method applied through statistical analysis software; also of legislation bearing on risk exposure and of risk disclosure in offer documents, kept current by consulting financial literature and monitoring developments in finance and economic theory. No distribution of qualifications held by incumbents has been surveyed; the occupation is classified at a level for which most entrants hold a four-year degree, with considerable related experience and several years of on-the-job or vocational training.
- Confers with traders to identify and communicate the risks attaching to particular trading strategies and positions, meets clients on risk exposure, market scenarios and values-at-risk calculations, and advises other departments on statistical modelling. Produces reports and presentations explaining risk positions and recommending change, and drafts or reviews risk disclosures for offer documents; technical results must be made intelligible to non-specialist readers.
- Quantifies risk through statistical analysis and econometric models, develops and implements risk-assessment methodologies, and devises scenario analyses reflecting possible severe market events. Identifies key risks and mitigating factors in potential investments — asset types and values, legal and ownership structures, customer bases, industry segments — and interprets data on price, yield and stability. Judgements concern uncertain future events, so method must be justified and assumptions made explicit.
- Devises systems to monitor the continuing validity of risk assessments, maintains the data quality of risk management systems, tracks and reports market risk for traded issues, and develops contingency plans for emergencies. No survey evidence exists on deadline pressure or on whose framework sets priorities.
- Work is carried out at a desk using statistical and spreadsheet software, including drawing charts and graphs for technical reports. No manual handling or dexterity demands are indicated.
Responsibilities
- No line management is evidenced. Influence is exercised through advice — to traders on position risk, to other departments on modelling, and to clients on their exposure.
- Holds no budget and commits no funds. Recommends investments and their timing to companies, investment firm staff or the public, prepares plans of action for investment, and recommends ways to control or reduce risk; the decision to act rests elsewhere.
- Contributes to the development of risk management systems and maintains the data quality within them. Ordinary care of a workstation and analytical software; no responsibility for stock or plant.
- Gathers risk-related data from internal and external sources, and owns the documentation of key risks, the risk-assessment models and the disclosures drafted for offer documents. Also evaluates the relative quality of securities within an industry and the environmental impact of new products on long-term profitability.
Effort required
- Sustained analytical concentration on statistical and econometric modelling, scenario construction and the interpretation of market data, with judgement exercised on incomplete information about future market conditions.
- The work context of this occupation has not been surveyed, so no exposure to conflict, hostility or distress is evidenced.
- No physical effort is indicated by the tasks, which are analytical and desk-based. Posture and exertion have not been surveyed.
Working conditions
- The tasks indicate office-based analytical work with client meetings, and no hazard or outdoor working. No work context data exists for this occupation, so conditions, noise, proximity and psychosocial exposure are unevidenced rather than absent.
- Working hours, shift patterns, on-call expectations, seasonality, time pressure and degree of autonomy have not been surveyed and are not asserted here. The tasks indicate work shaped by the organisation's risk framework and by client demand, the recommendations made being acted on by others.