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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | Finance / Accounts / Tax |
| EmploymentType | Full-time |
Analyst/Sr Analyst Data Science Zip CoAbout bluCognition: bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune.We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry.We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey.The Role is with Zip CoOur client Zip Co for whom we are hiring extensively - Zip Co, a major global player in the consumer - buy now pay later segment with HQ in Sydney, Australia. The group has presence in multiple countries including USA, Australia, New Zealand, UK and Canada and is increasingly expanding into newer markets. The company is listed on the Australian Stock Exchange as Zip Co, with a market capitalization of $5Bn. With a customer base of 4.5 million customers and 30,000 merchants, the company generates in excess of $5Bn in annual payments globally. Zip Co. entered the US market in 2020 through acquisition of QuadPayRoles & Responsibilities:- Lead building of advanced Data Science/Machine Learning models to create significant business impact.- Responsible for developing all aspects of data mining, predictive analytic, solution development.- In depth knowledge of Machine Learning algorithms for NLP, Forecasting, Prediction and Analytics- Strong understanding in areas of traditional statistical analysis, Bayesian modeling, traditional ML, Deep Learning, RL and optimization- Build strong understanding of traditional statistical analysis, Bayesian modeling, traditional ML and optimization through self-study, project exposure and guidance of senior team members.- Maintain robust documentation including all steps of model objective, development, algorithm, validation, implementation, etc.- Rich experience in at least one production ready deployment of Machine Learning algorithms is a plus.Requirements :- Degree in computer science, Mathematics, Statistics or Engineering from a premier institution- Minimum 2 Year experience (BFSI sector preferred)- Ability to work with data - expertise and comfort with extracting, transforming, and deriving insights from data.- Good SQL skill is mandatory. Working knowledge of Python is desirable.- Good understanding of statistics and probabilistic methods- Experience in working with the credit bureau data,
Keyskills :
basisdata scienceresearchaccountsdata miningdeep learningrisk managementrisk analyticscredit bureaudata conversionstock exchangecomputer sciencedata enrichmentcustomer relationsreporting