Job Description

About the Role
Quantitative Analyst/Data Scientist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics and AI.
Primary role of the advanced analytics consultant in the AI Model Development COE is to apply business knowledge and advanced programming skills and analytics to serve as a subject matter expert, analyst, advisor and consultant to support model lifecycle - model development, performance testing, data analysis, model implementation, model production, delivery of model results, change management, documentation and governance.
Responsibilities
Person would be required to work individually or as part of a team on data science projects and work closely with business partners.

Perform Data wrangling activities.

He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to Python, R, SAS, Spark, H2O, Aster etc.

Define business problem and translate it into analytical problem.

Essential Skills
BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis

1-3 years of relevant experience

Experience in various aspects of Natural Language Processing (NLP) such as regular expression, feature extraction, topic modeling etc. is must.

Experience with supervise , unsupervised & semi supervise learning

Experience with Deep-learning, Artificial intelligence techniques

Understand basics of Image/Voice processing, digital analytics, deep learning, machine learning

Good command over Excel, data management.

Desired Skills
Working expertise in Tensorflow, Keras or Pytorch would be added advantage
Education: BA (Arts)
Industry: Financial Services/Stockbroking, Banking

Skills Required