TRAINEE: Lod1 Credit Counterparty Risk Analyst
2 weeks ago
TRAINEE: Lod1 Credit Counterparty Risk Analyst
Corporate & Investment banking Trainee Hong Kong, Hong Kong Reference 24000R1Z Start date 2025/01/02 Publication date 2024/11/14
Responsibilities
Summary of the Key Purposes of The Role
CLIENT’S COUNTERPARTY RISK MANAGEMENT:
• Responsible for monitoring end-of-day and intraday risk of client’s portfolios
• Undertake risk analysis to identify portfolio risk and firm’s risk
• Escalate points of risks, issues, exceptions according to internal governance and prepare concise reporting to management
• Support business lines on credit counterparty risk aspects (risk framework and controls communication, calibration of risk metrics, margining, ad-hoc issues)
RISK DATA ANALYTICS
The successful candidate will contribute to enable data-driven business decisions and add value by ensuring risk guidelines are well monitored:
Designing analytical models which can detect activity signals to be used to enhance daily client’s risk management Developing dashboards and ad-hoc data visualizations leveraging on multiple large datasets Improving data quality through statistical outlier detection methods Developing quick wins solution or tools to adapt to new risk environmentsMain Responsibilities
The responsibilities of the LOD1 credit counterparty risk analyst will be centered around:
COUNTERPARTY RISK MANAGEMENT, where you will oversee the risk assessment and monitoring of a dedicated portfolio of counterparties (mutual funds):
Follow-up and control of client's counterparty risk: Daily assessment of portfolio risk across a substantial client base and across a wide range of asset classes Risk Advisor: be accountable for day-to-day implementation of the approved risk framework Point of Contact: Act as entry point to MARK business lines regarding counterparty risk questions Close focus on financial markets, assessing the potential for risk issues to ariseRISK DATA ANALYTICS AND DEVELOPMENT OF DASHBOARDS & VISUALIZATIONS
Take ownership to research and propose simple pattern detection methods identifying client risk activity signals using historical and/or intraday client’s trading / exposure activities Implement through code the proposed models into proofs-of-concepts. Model training, results analysis and back-testing Develop internal visualization dashboards using modern data analytics tools in a time-sensitive environment by linking datasets across a wide range of products Assist the team through preparation of presentations, management views Be an active member of internal working groups Take ownership for assigned projects and interact with IT globally (Bangalore, Paris, New York…)
Profile required
Master’s or bachelor's degree in finance / Quantitative Finance / Applied Mathematics / Science & Technology IT literate and proficient with one or more programming language (Python preferred), data management languages (SQL… etc), protocols and technologies Good interpersonal skills and communication skills (verbal and written) Ability to be able to work independently Good analytical skills and an aptitude for numbers with attention to detail Fluent EnglishThis is a fixed term 24-month Trainee contract with Societe Generale. You will form part of the team on a full-time basis. In order to apply for the Trainee position please ensure you have completed your qualification and will be available to work full time for the duration of the Trainee contract.
Behavioral Skills
Innovation - Technology: I adopt new technologies in the solutions and projects I work on Innovation - Simplification: I make things & ideas simple Team Spirit - Collective mindset: I favour the team’s interest over my own results Team Spirit - Open mindset: I listen and share my views and my expertise in an open mode Commitment - Exemplarity: I embody the Group’s values Responsibility - Risk awareness: I am constantly on the lookout for risks-
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