Simpl
Location
Bangalore | India
Job description
About Simpl
Simpl is India's leading checkout network meant to make payments invisible and money intelligent. It is committed to the simplification and democratization of digital transformation in the payments space.
As India's foremost consumer experience platform, Simpl is on a mission to empower merchants to build trusted relationships with customers, one transaction at a time. With more than 20,000+ available merchants and millions of trusted users pan-India, Simpl envisions creating an inclusive digital payment experience for India that empowers and fosters trust between merchants and their customers.
Simpl provides a full-stack solution for e-commerce conversion. It enables merchants to give customers 1-click checkout, buyer protection, and a pay-later facility to allow them to feel safe and trusted when shopping online. Through Simpl, merchants can provide consumers with an easy, secure, and intuitive user experience
About Role:
As Data Analyst, you will be passionate about quantitative analytics as well as advanced analytical tools/techniques that help enhance the risk assessment across stages of a product. Majorly, your core responsibility is to support the functions which reduce the risk undertaken. You will achieve the same through better - Fraud detection or Underwriting or Credit line management. You will have to collaborate with various PODs, inclusive of Fraud, underwriting Product teams to create analytical and data-science framework to dissect business adoption and revenue. You will take initiatives to build hypotheses around risk problem statements and estimate scope and impact of solutions.
Responsibilities:
● Analyze data to better understand potential risks, concerns and outcomes of analytically driven decisions
● Build ML/Heuristic models in assessing and defining risk across customer interactions with product
● Aggregate data from multiple sources to provide a comprehensive assessment of risk associated with the customers through out their transaction life cycle
● Monitor internal and external data points that may affect the risk level of a decision especially when testing or launching the features of the product
● Conduct research into potential acquisition customers and understand the risks of accepting each
● Work closely with Fraud/Risk/Underwriting teams & support them analytically to come up with effective ML techniques that can help identify/assess risk and create reports, summaries, presentations and process documents to display results
● Collaborate with other team members to effectively analyze and present data to the leaders/other stakeholders involved in the project
● Develop systems and processes for gathering and storing risk data for future analytic projects
Preferred Qualifications & Experience:
● Bachelors in Engineering, Mathematics, Economics from any of the top tier colleges
● One to five years of experience as an analyst in risk-centered companies (Risk /Fraud/Underwriting roles)
● Strong skills across programming languages such as Python/R, SQL
● Exposure to Machine Learning models/techniques and appropriate implementation
● Strong written, oral, and interpersonal communication skills
● Flexible and adaptable in regards to learning and understanding new technologies
● Ability to work both independently as well as in a team-oriented, collaborative environment
● Proficiency in Microsoft Excel, Qlik, Visio, Power BI and other analysis programs would be an add on
● Ability to manage multiple projects and programs at the same time to complete work
● Quantitative and analytical skills with a demonstrated ability to understand new analytical concepts
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