Analytics & AI – Analyst


Job Location: Bangalore, India

Job Duties and Responsibilities

  • Develop top notch analytical solutions largely self-reliantly, effectively and efficiently.
  • Develop implementation plan, logic and modules to embed in client solutions and client discussion ready documents /presentations.
  • Develop actionable, clean, maintainable, testable, reusable, extensible codes, including an automated build pipeline.
  • Work closely with stakeholders to understand business requirements, context, data, processes and workflow and provide robust actionable solutions under expected deadlines.
  • Actively support positive & creative work-environment, speak-up culture, collaborations with others, demonstrate a high level of energy & enthusiasm and be curios to learn to do even better.
  • Participate in meetings and discussions with business and analytics experts in researching and conceptualizing solution approaches, new techniques, solution frameworks and contribute to quality discussion papers.

Qualifications, Skills and Experiences

  • Masters or PhD in engineering / mathematics / statistics / operations research /  economics or any quantitative area or MBA with quantitative background.
  • 2+ years of relevant hands-on experience and knowledge in analytics, data science, decision science and AI / ML developments.
  • Knowledge and proficiency in analytical language coding – Python, R, SAS and other similar preferably in cloud environment and knowledge of popular BI tools.
  • Knowledge and proficiency in handling large data for analysis or model developments.
  • Knowledge and experience of different data mining approaches and modeling techniques
  • High proficiency and knowledge in at least one analytics domain – marketing & customer, product & pricing, channel & digital, credit risk and regulatory risk.
  • Excellent communication and inter-personal skills.
  • Ability and experience of working in a fast-paced environment and make quality decisions in moderately ambiguous work environment.
  • Ability to solve problems creatively, effectively and efficiently.
  • Knowledge and previous work experience in financial services is preferred.