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 clientsDeveloping/improving advanced/intuitive visualization integrating multiple post-trade analytics into client-friendly interfaceHaving familiarity with internal and regulatory guidelines on Model governance. Implementation of remediation; reviewing the process of data feeds from multiple upstream systemsCreate factsheets with client’s investment analytics datasets through API and also support advanced client and product managers for explanation on data and associated analytical resultsPublish 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 processAssist 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 institutionStrong capability in Mathematics, Statistics, Econometrics and Machine Learning Techniques Understanding LLM and applying the same effectively Good exposure to developing on Cloud-based platformsHighly analytical bent of mind, close attention to detail and ability to work to very high standardsHigh 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 teamsHigh level of proficiency in C++, JavaScript or Python programmingRole requires a detailed understanding of new age FinTech and Financial ModellingIt 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