You are a strategic thinker passionate about driving solutions in “Investments”. You have found the right team.

 

As an Investment Specialist within our “ Investment Director Review team” , you will be responsible for setting and improving our organizational objectives and ensuring their consistent accomplishment.

 

Job Responsibilities:

  

Lead comprehensive, independent quarterly reviews of AMD investment mandates. 

 

Provide tailored oversight and monitoring by establishing and utilizing customized frameworks and methodologies to identify, measure, and monitor investment risk. Initially focus on automating and continuously improving existing risk and performance frameworks, collaborating closely with portfolio managers, investment specialists, AMD management, and technology and operations partners. 

 

Deliver risk and performance reports and analyses at both the portfolio and strategy levels by examining the quantitative and qualitative factors driving changes in risks and exposures. 

 

Prepare and present materials in response to new business initiatives, such as Requests for Proposals (RFPs). 

 

Oversee and attest to the accuracy and reliability of risk models, ensuring they are aligned with industry standards and internal policies.

 

 

Required qualifications, capabilities and skills 

 

Professional experience with a programming language for data analytics, such as Python. Strong understanding of risk sources in derivatives and structured products.

 

Excellent oral and written communication abilities, capable of discussing risk figures, exchanging ideas, and producing high-quality output under tight deadlines. 

 

Proven experience in evaluating risk and interpreting model outputs for equities, rates, credit, and inflation. 

 

Bachelor's degree with at least 2years of relevant experience, or a degree in mathematics or engineering

 

 

Preferred qualifications, capabilities and skills 

 

 

FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) designation, either achieved or with a willingness to pursue. 

 

Machine Learning Proficiency: Knowledge and practical experience with machine learning techniques. 

 

Modelling Expertise: Familiarity with pricing models, Value at Risk (VaR) models, and back testing techniques. Experience with tools such as MSCI Risk Metrics, MSCI BarraOne, or Yield Book is advantageous.