DescriptionAre 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 clients 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 exante and expost risk and more. You will also have the chance to publish industryleading 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 exante and expost risk environmental social governance (ESG analytics) compliance and other posttrade models for the IIS product. There may be some custom deliverables for highprofile and complex clients
- Developing/improving advanced/intuitive visualization integrating multiple posttrade analytics into clientfriendly 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 clients 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 cointegrate them into investment and exposure reporting process
- Assist with training of internal users and clients on investment analytics
Required qualifications capabilities and skills
- PhD Masters 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 Cloudbased 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