Data Scientist - Fraud Modelling

Job Description : Experience : 3 to 6 yearsLocation : Gurugram/Bangalore/PuneNotice Period : Immediate to 30 days!!Roles & Responsibilities : - 3+ years experience on Python, ML and Banking model development.- Interact with the client to understand their requirements and communicate/brainstorm solutions, model development : Design, build, and implement credit risk model.- Contribute to how analytical approach is structured for specification of analysis.- Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective and independently address complex problems.- 3+ years experience on ML/Python (predictive modelling).- Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.- Create experiments and prototype implementations of new learning algorithms and prediction techniques.- Collaborate with product managers and stockholders to design and implement software solutions for science problems.- Use machine learning best practices to ensure a high standard of quality for all of the team deliverables.- Has experience working on unstructured data (text) : Text cleaning, TFIDF, text vectorization.- Hands-on experience with IFRS 9 models and regulations.- Data Analysis : Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity.- Statistical Analysis : Utilize advanced statistical methods to build robust models, leveraging expertise in R programming.- Collaboration : Work closely with data scientists, business analysts, and other stakeholders to align models with business needs.- Continuous Improvement : Stay updated with the latest methodologies and tools in credit risk modeling and R programming. (ref:hirist.tech) .