Job description

The primary role of an analyst is to monitor and to analyse credit risks for all local public sector assets within the portfolio, in line with the strategies defined by the Risk Management dept and in collaboration with all other departments of the bank.

Tasks:

• Handle the annual rating process for portfolio counterparties for which the candidate is responsible, with a focus on the international public sector counterparties (Italy, Spain, Japan, UK, US and others).
• Risk monitoring and financial analysis of counterparties (local authorities, private and public satellites…).
• Drafting periodic investment/ scoring and/or individual annual reviews.
• Updating quarterly reviews of sensitive files within the scope, presentation of files and recommendation proposals for the Watchlist Committee.
• Ensuring the processing of proposals submitted to the Transaction Committee.
• Sector and institutional monitoring (news on local finances, tracking finance laws, etc.).
• Drafting cross-functional sectoral studies, linked with the current events happening in the sector or the needs of the bank;
• Participate in cross-functional projects that involve the CEC local public sector, other Risk departments and/or other departments in the bank.

Job description

Among the main responsibilities of RMQD are:

- Developing, backtesting and stresstesting of quantitative credit risk models (e.g. probability of default), in the context of IFRS 9 provisioning and for internal risk assessment, for all asset classes in the Dexia portfolio.

- The annual production of the internal capital assessment (ICAAP) covering all risk types. Full production of the credit risk assessment via portfolio risk models. Transversal responsibility with other teams to collect input for other risk types (market risk, operational risk, climate risk, …) and to integrate all risks in the final overall risk assessment.

- Developing and backtesting of models translating forward looking macro-economic scenarios into credit risk impacts.

- Strategic planning and capital projection under different scenarios for the full Dexia portfolio, taking into account economic and regulatory constraints, and considering specific risks at portfolio level such as correlation and concentration risk.

The position involves state-of-the-art modelling and data science for active risk management. This is a perfect first experience in quantitative risk management, in a multicultural environment within a highly motivated team.

Job description

Within the Risk Department, you will work in the RMQD (Risk Models, Quantification and Defaults) team. The RMQD team is responsible
for the development and use of all quantitative credit risk models, both at counterparty and portfolio level. The development is based on advanced statistical and mathematical modelling. The models are used by the RMQD team itself for key regulatory and strategic exercises, ranging from quarterly IFRS9 expected credit loss calculations, projections of the key risk measures in the financial plan, stress testing and the integrated ICAAP file of the bank. More specifically, the projects cover:

• The development, maintenance and backtesting of the internal credit risk models, which are used for analyzing the counterparty-level credit risk in the Dexia Portfolio. This implies the construction of rating migration, PD and LGD models, covering the whole process from data collection & treatment, discrimination analysis and calibration of the risk levels up to implementation (both long-term Through-The- Cycle and Point-In-Time macro-economic models).
• The calibration of the parameters of the internally developed portfolio management tool which assesses the portfolio tail risk (Credit Value-at-Risk, VaR). These include a.o. the calibration of stochastic PD and LGD, the asset correlation structure and global maintenance/updates of the portfolio management tool to reflect the portfolio’s risk dynamics.
• The production of strategic long-term and/or stress test results for top management. The RMQD team assists in the development of the different base and stress scenarios and is responsible for the calculation of all credit risk impacts (a.o. losses in case of default, IFRS9 provisions, risk-weighted assets). On other risks (such as operational and market risk) the RMQD team is responsible for the collection and aggregation of the relevant results from the other Risk teams in order to produce the global risk view across the bank and its entities
under all base and stress scenarios.
• The development and follow-up of the credit risk indicators within Dexia’s Risk Appetite Framework.

All the above mentioned models and tools are built and maintained within RMQD inside the Matlab environment, while the data
treatment is mainly based on SQL.

Job description

The post holder will be tasked with analysing and improving market risk indicators in order to render an appropriate image of the risk profile of Dexia Crédit Local and the Dexia Group.

The post holder will be responsible for all or part of the following tasks:

• Identifying the market risks for the activities for which the post holder tracks, developing measurement indicators and market risk monitoring indicators, particularly VaR, stress tests and economic equity.
• Updating "policies", "guidelines", methodologies and procedures facilitating the proper documentation of activities.
• Ensuring application complies with the prudential framework (management of the internal GIRR model, calculations of equity requirements, etc.).
• Measuring and analysing the risk indicators and financial performance indicators according to the relevant schedule and the quality level and traceability level set out.
• Daily monitoring of limits and escalating where exceeded.
• Periodically checking the non-significance of unmodelled risks; periodically checking the relevance of hypotheses and short cuts taken in the different models.
• Following the regulatory developments and simulating the impacts thereof.
• Participating in the improvement of production and reporting tools.
• Participating in the modelling of new risks linked to new products.