Data Scientist / Sr Data Scientist for BankBazaar Analytics Team

Location: Bangalore

About BankBazaar.com:

- BankBazaar is India's leading online financial products marketplace where one can shop for Credit Cards, Loans, Insurance, and Investment products.

- We have ~50 million unique visitors to the website every month. We are the biggest player in India in the digital financial origination space

- Our investors include Amazon.com, Sequoia, Fidelity, Experian, Walden, and Mousse Partners. We have raised more than $ 110 million in funding since inception through 4 rounds of funding

- Given our unique position in a nascent and large market like India, our business has been growing manifold year-on-year since inception

Description:

- Primary focus will be in applying data mining techniques, doing statistical analysis, build recommendation systems to drastically improve on our cross-selling capabilities, build credit score models that will help us assess customer risk, and build systems for automated fraud detection

- Provide analytic support to the business teams by understanding the context and formulate/execute appropriate analytical approach to address the situation

- This will be a high visibility role that will entail working closely with the Senior Management and several functions. The team member should independently manage end-to-end partner communication

Core Responsibilities:

- Development and maintenance of statistical / quantitative models and segmentations

- Ability to manage & develop analytic solutions to deliver on complex projects

- Using insights from data, to improve cross-sell capabilities to BankBazaar's past customers & visitors; How to increase customer LTV (Lifetime value) and repeat purchase behavior

- Measure & own the business impact of work, Set and manage partner expectations, manage timeliness around project priorities

- Can coach/mentor junior team members on theory/practical applications of relevant tools & techniques, significantly contribute to the standardization and best practices

Qualifications:

- 4+ years of analytics experience

- Preferable to have Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from a premier institute / Bachelor's with a track record of performance that demonstrates the ability of understanding numbers

- Added advantage: Have worked in any of the following domain: (Credit Cards, Retail Bank, Mortgage, Lending/Liability Product)

- Proficient in formulating analytical methodology, identifying trends and patterns with data

- Expertise in advanced statistics including hypothesis testing, regression, segmentation, text mining and neural networks, optimization and forecasting

- Proficient in tools like MS Excel, PowerPoint and programming language such as R, SAS, SQL, Python; familiarity with PowerBI is an added advantage

- Good to have expertise in Adobe Site Catalyst/Omniture/Google Analytics

- Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences, Capability to act as an owner & deliver results

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