Data Science - DVP/VP

Oaknorth

Bangalore, IN / Gurugram, IN
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/10/2021
  • Website: www.oaknorth.com
  • Company Address: 57 Broadwick Street, London, W1F 9QS, UK

About Oaknorth

OakNorth’s Credit Intelligence software combines a deep understanding of credit, dynamic data sets, auto-analysis capabilities, cloud-computing and state of the art machine learning, to provide banks with the insight and foresight they need to create a better borrowing experience for the Missing Middle.

Job Description

Job Responsibilities:
 
Develop statistical models to analyze large financial/market/high-frequency data sets and provide business performance conclusions for companies across multiple sectors e.g. linking macroeconomic data with specific sector performance, linking cost with revenue performance
 
Hands on experience of using R or Python with focus on statistical packages and working with databases such as SQL
 
Extensively use statistical techniques including time series analysis, multivariate regression, test of significance etc. in building the models
 
Deep knowledge of data science techniques such as linear/non-linear regression, maximum likelihood estimation, time series estimation & forecasting, optimization, simulations (Monte Carlo), asset pricing, data mining, pattern recognition, dimension reduction (PCA), Nowcasting and MIDAS
 
Experience implementing Machine learning algorithms including classification and clustering methods such as logistic regression, decision trees, random Forest, and K-means clustering
 
Demonstrate strong understanding of key dynamics that explain sector performance and ability to independently verify the model outcomes
 
Keep abreast of latest developments across sectors including impact of regulatory changes, impact of technological changes, structural changes in demand / supply environment etc.
 
Extract information directly from multiple sources using web scraping and other techniques
 
Desired Skills:
 
Masters in Statistics / Economics / Business or equivalent with at least 7-10 years’ experience in the field of data science and statistical modeling
 
Adeptness at linking statistical outcomes with business problems / situations and not thinking in silos of subject matter
 
Ability to think critically in understanding client problem and brainstorm solution with colleagues of varied background (credit, market research, and technology)
 
Strong communication skills for client facing role 

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.