Hybrid Assistant Manager, Investment Performance & Risk Analytics bei Income Insurance Limited

Job Description

• Produce accurate and relevant investment risk and performance reports for all insurance funds and portfolios, across asset classes and strategies.
• Support investment teams by providing analysis on portfolio composition, exposures, and return decomposition.
• Conduct performance attribution and risk analysis to explain drivers of return and variance form benchmark.
• Produce regular investment risk reports detailing portfolio risk exposure, market risk and credit risk.
• Raise, investigate, and follow up on issues related to data quality and content of the reports.
• Work with stakeholders (IT, custodian, and system vendors) to implement and enhance risk modelling and performance attribution methodologies for insurance funds and portfolios, across asset classes and strategies.
• Produce and maintain various reporting dashboards for management reporting and committee meetings.
• Participate in initiatives to implement, enhance performance, and risk analytics and improve existing team processes and/or reporting capabilities.

Qualifications/ Skills

• Around 5-10 years of experience in risk and performance analysis or reporting role in financial institution.
• A degree in Finance, Financial Engineering, Engineering, Mathematics, Statistics, or quantitative inclined field is preferred.
• Experience in analysing risk factors, modelling risks such as volatility, tracking error and stress scenarios is preferred.
• Strong knowledge in risk and performance returns calculation methodologies, investment products and investment portfolio accounting. 
• CFA, CIPM, FRM is a plus
• Proficiency in using FactSet, Bloomberg, SQL, Python is preferred.
• Familiarity with data visualization tools such as Tableau & PowerBI is a plus 
• Familiarity with data lake technology and programming language is a plus
• Detail orientated, possess initiative and work well under pressure.
• Good team player and ability to interact effectively with stakeholders
• Technical skills e.g. coding and handling of analytical datasets are preferred
• Desire to constantly learn and upgrade your knowledge base and skillset