Securities Services - Investment Information Services - Analytics

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

We are a group of Quantitative analytics experts (Quants) with deep knowledge of financial products, complex datasets, mathematical/econometrics models as well as analytics system engineering. We design, develop and implement client’s facing analytics solution. 

As a Securities Services - Investment Information Services - Analytics in our Data Solutions group, you will have the opportunity to work with a dynamic team, develop and improve models for performance, investment insight, liquidity, ex-ante and ex-post risk, and more. You will also have the chance to publish industry-leading papers on new investment trends and assist with training of internal users and clients on investment analytics.

Job responsibilities

• Developing/improving models for performance, investment insight, liquidity, ex-ante and ex-post risk, environmental social governance (ESG analytics), compliance and other post-trade models for the IIS product. There may be some custom deliverables for high-profile and complex clients
• Developing/improving advanced/intuitive visualization integrating multiple post-trade analytics into client-friendly interface
• Having familiarity with internal and regulatory guidelines on Model governance. Implementation of remediation; reviewing the process of data feeds from multiple upstream systems
• Create factsheets with client’s investment analytics datasets through API and also support advanced client and product managers for explanation on data and associated analytical results
• Publish industry leading papers on newer investment trends such as Environment, Social and Governance (ESG) and methodology to co-integrate them into investment and exposure reporting process
• Assist with training of internal users and clients on investment analytics

Required qualifications, capabilities, and skills

• PhD, Master’s or B. Tech/B.E degree in a numerate subject from a top academic institution
• Strong capability in Mathematics, Statistics, Econometrics and Machine Learning Techniques 
• Understanding LLM and applying the same effectively 
• Good exposure to developing on Cloud-based platforms
• Highly analytical bent of mind, close attention to detail and ability to work to very high standards
• High level of proficiency Python programming

Preferred qualifications, capabilities, and skills

• Excellent communication skills are required as the candidate will be required to interact extensively with the business development, product development, technology, and control teams
• High level of proficiency in C++, JavaScript or Python programming
• Role requires a detailed understanding of new age FinTech and Financial Modelling
  • It is understood that the candidate may not have this knowledge from previous experience, but the successful candidate should be highly motivated to gain this knowledge