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16/09 Rajat Kumar
Director at HuQuo Consulting Pvt. Ltd.

Views:771 Applications:213 Rec. Actions:Recruiter Actions:9

Associate Vice President - Data Science - IIT/IIM/ISB/XLRI (7-10 yrs)

Gurgaon/Gurugram/Bangalore Job Code: 1315400

Job Responsibilities :

The Senior Data Scientist will play a critical role in helping this transformation. The role is for Lead that is a blend of a Python ,SQL ,ML Engineer and a data scientist that also has extensive experience in the financial industry and in particular credit risk modeling. The core responsibilities of him/her will include but are not limited to :

1. Implementing prototypes of various Data Science Components/Apps

- Writing Python/Spark SQL code to implement prototypes from scratch

- Working closely with the core engineering team to move forward model build of the analytics products

- Suggesting ML techniques

- Building enhanced user-friendly dashboards for various steps in the pipeline

- Assisting in connecting new data assets to our end-to-end modeling platform

2. Predictive Modeling Framework Development

- Building Generic Credit Risk and Propensity Scores

- Building highly specialized predictive models and overall process flows

- Supporting deployments of ML models

- Building reporting and monitoring frameworks

3. Applying Data Science Knowledge to solve problems for clients

- Usage of Advanced machine learning techniques to solve ad-hoc client problems

- Bringing new ideas how to approach general problems in credit risk management

- Having fundamental knowledge in general processes around targeting, Fraud detection, acquisitions, Account management, collections

- Writing data pipelines / ETL for non-standard or new modeling use cases

- Build new dashboards and reports to provide insights to clients on model performance and impact, leveraging our proprietary BI toolkit

- Helping document methodologies, tool usage and business logic

- Testing new product features and algorithms and verify accurate implementation ahead of live release to our global client base

- Implementing bug-fixes and upgrades to Experian methodologies in credit-related business logic

Key Skills :

- 3-5 years of industry specific experience

- 7-10 years of data science and data engineering experience

- Programming needs to come natural to the individual

- Fluent in at least one traditional programming language

- Extremely familiar with Python PySpark and SparkSQL and familiarity with modern data science and engineering technologies in general and common ML frameworks such as (MLlib, pytorch, sklearn, tensorflow all valuable)

- Extensive experience with scrapping data and parsing unstructured data

- Expertise in applied statistics and machine learning - advanced degrees in quantitative fields and/or professional experience in applied analytics are valuable

- Master's degree in quantitative field required

- Experience in financial services and credit modeling

- Commercial mindset, focused on what the customer really needs

Women-friendly workplace:

Maternity and Paternity Benefits

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