SDE Data Science

4 weeks ago

Chandigarh, India IndiaP2P Full time

Introduction: IndiaP2P

IndiaP2P is a digital fintech platform enabling high-yield investment opportunities for retail investors while unlocking capital for India's most purposeful borrowers.


With the industry's most advanced technology stack, IndiaP2P goes well beyond connecting lenders and borrowers. Our technology undertakes a variety of credit assessment and risk mitigation processes using proprietary algorithms. These processes disintermediate traditional middlemen in the credit value chain thereby generating higher potential returns via systemic efficiency.


Position Overview:

We are seeking a talented Software Development Engineer (SDE) with a strong background in Data Science to join our team. The ideal candidate will be passionate about leveraging data to drive business decisions and possess the technical skills to develop scalable and efficient data solutions.


Job Location: Chandigarh


Key Responsibilities:

  • Develop and maintain robust data pipelines for processing, analyzing, and visualizing large-scale datasets.
  • Collaborate with cross-functional teams to understand business requirements and design data-driven solutions to address complex problems.
  • Implement machine learning algorithms and statistical models to extract insights and predictions from data.
  • Design and build scalable data pipelines for processing and transforming raw data into actionable insights.
  • Conduct exploratory data analysis to uncover patterns, trends, and anomalies in data.
  • Mentor junior team members and foster a collaborative and innovative work environment.


Qualifications:

  • Bachelors or Masters degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
  • Proven experience 2-3 years, working as a software engineer with a focus on data science or related roles.
  • Proficiency in programming languages such as Python, and Nodejs.
  • Fundamental understanding of databases, such as, mongo DB, DynamoDB
  • Solid understanding of machine learning techniques, statistical analysis, and data visualization tools such as power BI, Qlik sense.
  • Proficiency in SQL and relational databases, as well as familiarity with NoSQL databases.
  • Excellent problem-solving skills and the ability to think analytically.


Why Join us

  • A great learning experience in the complex fintech space.
  • Great colleagues who would challenge you to grow personally and professionally
  • All the learning youll need to jumpstart a career in credit risk/ enterprise risk management
  • An offer for a full-time position if you exceed expectations


Employment Type

Full-time


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