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Risk Analysis Officer/Data Manager

ESMA - European Securities and Markets Authority

Paris, France

Job framework and profile

ESMA is organising a selection procedure for the profile of “Risk Analysis Officer/Data Manager” in the Data and Statistics team (DST) of the Risk Analysis and Economics (RAE) Department.

Risk Analysis and Economics is the analytical and statistics department at ESMA. It monitors market, systemic and innovation risks in the EU’s securities markets, financial infrastructures, and asset management industry, conducts research on market functioning, investor protection, and financial stability issues. The Department is also responsible for ESMA’s data management and providing statistical services to the organisation. In doing so, it contributes to ESMA’s operational duties, including regulatory impact assessments or supervisory stress testing, and to the work of EU and international bodies, such as the European Systemic Risk Board (ESRB), International Organization of Securities Commissions (IOSCO) or the Financial Stability Board (FSB).

The Data and Statistics team (DST) is responsible for managing proprietary and commercial data at ESMA and for providing cutting-edge statistical services. Developing data and statistical capa-bilities is a strategic objective of ESMA. Overseeing a wide and growing range of statistical data-bases and regulatory and supervisory registers, DST is further developing ESMA’s unified ap-proach to data management, including definitions, formats, sourcing, quality and security man-agement, continuity, automation, and user interfaces. Relying on these data sources, DST coop-erates with other RAE teams and ESMA departments on developing market indicators, risk met-rics, and tailor-made statistical analyses for topical research in ESMA’s remit, including securities markets, market infrastructure, and financial investors.

Main duties

The Data Manager’s main duties will be the management, quality enhancement and statistical analysis of datasets at ESMA – especially non-proprietary data. These data are used for risk analysis activities in RAE, specifically risk monitoring through regular reports and research. He/she will use of state-of-the-art techniques in order to ensure that DST team activities attain the highest levels of quality, effectiveness, efficiency and operational continuity.

The Data Manager will:

  • be responsible for the management of datasets, including being the designated data man-ager of non-proprietary data (i.e. data provided by commercial vendors or publicly availa-ble data);
  • design, implement and maintain the system for the delivery of recurrent analyses and generation of pre-defined reports by defining and documenting statistical methodologies, implementing further automation and ensuring operational continuity;
  • promote and prepare the use of ESMA proprietary data in regular reports;
  • contribute, in coordination with other ESMA colleagues, to the definition of data needs; the possible use of available data; the design, implementation or modification of analyses and research; and the estimation of the associated costs of production;
  • provide written contributions to internal or external documents in the area of his/her expertise; and
  • provide advice on the procurement of commercial datasets.

Professional qualifications and other requirements

Eligibility criteria

To be considered eligible, candidates must satisfy all the eligibility criteria listed below, by the deadline for submitting applications:

  • have at least a level of education which corresponds to completed university studies of three years attested by a diploma;
  • be a national of a Member State of the European Union or the EEA (Norway, Liechtenstein, Iceland);
  • enjoy full rights as a citizen;
  • have fulfilled any obligations imposed by the applicable laws concerning military service;
  • produce the appropriate character references as to their suitability for the performance of their duties;
  • have a thorough knowledge of one of the languages of the European Union and a satis-factory knowledge of another language of the European Union; and
  • be physically fit to perform the duties linked to the post.

Selection criteria

Essential requirements

  • The diploma must be acquired in statistics, mathematics, economics, finance, engineering, IT or similar relevant fields;
  • At least three (3) years of experience (acquired after the required level of education) in data management activities or statistical analysis (see part “main duties”);
  • Professional experience in financial market data analysis; and
  • Excellent written and oral English.

Advantageous requirements

  • Excellent knowledge of statistical methodologies for the production of economic or financial risk analysis and research;
  • Excellent knowledge of financial databases such as Bloomberg, Thomson Reuters Eikon, Dealogic, Markit or other data sources, such as proprietary regulatory or supervisory databases;
  • Broad experience in data mining, with data analysis tools (R, SQL and Python) and with data visualization tools (such as TIBCO Spotfire);
  • Knowledge of the EU regulatory framework and EU policy processes;
  • Knowledge and work experience in project management; and
  • Motivation for the advertised position.

Supplementary requirements

  • Excellent methodological and analytical skills and capacity to identify key issues;
  • Ability to deliver high-quality work under pressure and tight deadlines;
  • Dynamic personality with strong aptitude for team work; and
  • Excellent inter-personal skills, strong communication skills and ability to communicate clearly and effectively with internal and external stakeholders.

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