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19/07 Ankita Das
HR Manager at Blucognition

Views:1341 Applications:266 Rec. Actions:Recruiter Actions:158

bluCognition - Manager - Data Science - QuadPay (6-10 yrs) Premium

Bangalore/Pune Job Code: 952480

The Role:

The role is with Quadpay.

Quadpay's buy now, pay later platform gives savvy shoppers more freedom and flexibility to pay later anywhere. Customers can split any purchase in 4 installments over 6 weeks, with zero interest or hidden fees. Our ultimate goal: to create a world where everyone has access to the things they need and want from life.

Together with Zip Co., Quadpay serves over 4.5 million customers and 30,000 merchants, with $3bn in annual payments globally.

While continuing to grow exponentially in the US, the company is expanding internationally as well.

Roles & Responsibilities:

- Build (develop/test/validate) statistical/ML models, optimization solutions, inference techniques for risk management, marketing and customer acquisition/management to create significant business impact.

- Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources to improve models.

- Maintain robust documentation of approach and techniques use -including objectives, assumptions, performance, weaknesses and limitations.

- Be ready to adapt to new tools/libraries/technologies/platforms.

- Actively partner with different development groups inside of the organization.

- Further develop expertise in statistical learning through self-study, project exposure and guidance of senior team members.

- Work with Agile Scrum frameworks following best practices to drive Epic/Feature/Story creation to drive solution design and development

Qualifications

- Degree in computer science, Mathematics, Statistics or Engineering from a premier institution

- Minimum 6 years of experience with 2 years of experience in BFSI preferred

- Strong knowledge of SQL and at least one open-source statistical programming language (R, Python).

- Ability to work efficiently at scale and derive insights from large data sets.

- Experience with exploratory data analysis, statistical analysis and testing, and model development; rich experience in at least one production ready deployment of Machine Learning algorithms.

- Knowledge of underlying mathematical foundations of statistics, hypothesis testing, machine learning, optimization, and analytics

- Self-driven with an aptitude for independent research & problem solving

- Industry experience in risk management, payments, financial services & fraud management

Bonus Qualifications

- In depth knowledge of Machine Learning algorithms for NLP

- Experience in leading a team as a manager

- Experience using Azure platform

- Experience using PySpark/Scala for big data manipulation and processing

- Industry experience in risk management, payments, financial services & fraud management

Women-friendly workplace:

Maternity and Paternity Benefits

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