Lead Data Scientist-Credit Risk Modeling | 7 - 12 Years | Bangalore

We are hiring for TOP MNC for Lead Data Scientist(Credit Risk Modeling). Exposure in- Industry : Fintech (Credit, BNPL, Lending platforms) Highly Preferred, Mortgage/Home, Auto financing risk assessment roles, Risk assessment roles in Commercial/ Residential REITs, Risk modelling/ Data science roles in BFSI domain Insurance /healthcare Banking 7+ years of relevant data science, analytics, predictive analytics or advanced risk modelling with large-scale data and project management experience 3+ years of hands-on Python experience coding machine learning models (XGBoost, Random Forest, Catboost, etc.), time series (ARIMA, VC, etc.), regression and/or segmentation analyses on large data sets 3+ years of hands-on SQL experience, specifically to write complex, highly optimized queries across large volumes of structured and unstructured data in preparation for analyses; experience with Snowflake a plus Experience presenting to an executive audience, building insightful presentations that use data to create compelling cases for change Qualification Required From- Bachelors Degree/Masters degree- required in a mathematics-based discipline such as engineering, math, statistics, economics or similar discipline. Please Note- Must have strong exposure stakeholder & people management. Location - Bangalore Experience - 8 - 14 Years Salary- Max 40 LPA (Including 10% of variables) Notice Period - Immediate - 15Days max. Shift - Flexible to work in shifts (2PM: 11PM) Work Mode- Work from office/Hybrid Skills Required 7+ years of relevant data science, analytics, predictive analytics or advanced risk modelling with large-scale data and project management experience 3+ years of hands-on Python experience coding machine learning models (XGBoost, Random Forest, Catboost, etc.), time series (ARIMA, VC, etc.), regression and/or segmentation analyses on large data sets 3+ years of hands-on SQL experience, specifically to write complex, highly optimized queries across large volumes of structured and unstructured data in preparation for analyses; experience with Snowflake a plus Experience presenting to an executive audience, building insightful presentations that use data to create compelling cases for change Can quickly extract insights from various forms of data and succinctly guide the business on how to use them Expert in statistics including probability theory and sampling, predictive modeling, test vs. control, and the application of these methods to solve real-world problems Demonstrated ability to successfully build rapport with stakeholders that do not have analytical expertise, translating complex mathematical concepts into easy-to-understand terms Ability to prioritize, multitask, manage multiple complex projects simultaneously, and deliver results within compressed timelines A strategic and tactical thinker; strong vision and ability to think outside the box, provide innovative solutions to core business practices, execute, and implement Self-starter, very resourceful, a quick learner with a high degree of agency, integrity and ownership Ability to work at a fast pace, both independently and as a team, without sacrificing attention to detail Must be comfortable hunting for, aggregating, cleaning, and validating data from multiple sources Interested candidates please share resume on below details Share CV on: Amzad@inspirationmanpower.co.in Call to: Amzad Ali - 9900024952 We are hiring for TOP MNC for Lead Data Scientist(Credit Risk Modeling). Exposure in- Industry : Fintech (Credit, BNPL, Lending platforms) Highly Preferred, Mortgage/Home, Auto financing risk assessment roles, Risk assessment roles in Commercial/ Residential REITs, Risk modelling/ Data science roles in BFSI domain Insurance /healthcare Banking 7+ years of relevant data science, analytics, predictive analytics or advanced risk modelling with large-scale data and project management experience 3+ years of hands-on Python experience coding machine learning models (XGBoost, Random Forest, Catboost, etc.), time series (ARIMA, VC, etc.), regression and/or segmentation analyses on large data sets 3+ years of hands-on SQL experience, specifically to write complex, highly optimized queries across large volumes of structured and unstructured data in preparation for analyses; experience with Snowflake a plus Experience presenting to an executive audience, building insightful presentations that use data to create compelling cases for change Qualification Required From- Bachelors Degree/Masters degree- required in a mathematics-based discipline such as engineering, math, statistics, economics or similar discipline. Please Note- Must have strong exposure stakeholder & people management. Location - Bangalore Experience - 8 - 14 Years Salary- Max 40 LPA (Including 10% of variables) Notice Period - Immediate - 15Days max. Shift - Flexible to work in shifts (2PM: 11PM) Work Mode- Work from office/Hybrid Skills Required