Deputy Manager/Manager - Data Scientist Quant (Job Code : J42084)  

 Job Summary
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Experience:
5.00 - 8.00  Years 
 
Location:
Mumbai
 
Designation:
Deputy Manager/Manager - Data Scientist Quant
 
Degree:
BE-Comp/IT, BE-Other, BTech-Comp/IT, BTech-Other, ME-Comp/IT, ME-Other, MTech-Comp/IT, MTech-Other, PhD-Comp/IT, PhD-Other
 
Educational Level:
Graduate/Bachelors
 
Stream of Study:
 
Industrial Type:
IT-Software/Software Services
 
Functional Area:
IT Software - Application Programming / Maintenance
 
Key Skills:
Quant, Financial, quantitative, modelling
 
Job Post Date:
2020-01-07 18:02:17  
 
 

 Company Description
 
We are capability centre based in Mumbai, initially started as a back-office operational support to the UK business unit.

However, over the recent years, we have significantly increased the breadth and depth of our capabilities and offerings to keep pace with the changing needs of the Group. These include Digital & Knowledge Services, Finance and Actuarial, Information Technology (IT), Customer Service, Risk and Audit.

Our core purpose is to be a strategic partner to company, enabling growth by delivering change and driving synergies through a highly capable and agile workforce.

With our diversified service offerings we provide our people with exciting opportunities to grow personally and professionally.

Company is a leading savings and investments business serving around 5.5 million retail customers and more than 800 institutional clients.

It-s innovative asset management and customer solutions are supported by extensive investment capabilities, an international distribution network and two strong brands.
 

 Job Description
 
5 - 8 years’ experience of Quant Modelling / Data Scientist ( using Machine Learning techniques ) / financial modelling
Advanced quantitative/ financial programming skills with at least one data related scripting language (e.g. Python is must ).
Expertise in quantitative finance/ econometric techniques eg Portfolio Optimization, Stochastic modelling , Cash flow modelling ,VAR , Statistics and machine learning techniques
Keen mindset for financial analysis, economics and understanding markets, investment opportunities to build use-cases where data science led techniques could benefit the investment process
Domain knowledge of Asset management / Investment Management industry