Senior Analyst-RShiny/Python Developer-3-7 Years-Pune

Location: Mumbai
Discipline: Analytics
Job type: Permanent
Contact name: Mini Dang

Contact email:
Job ref: 40906
Published: 3 days ago


Immediate joiners – Attention here !!!

Join our team to develop credit rating models using R Shiny and Python. Finance industry experience preferred.

Location – Pune

Your Future Employer- Join a leading organization that is known for its comprehensive analysis and expertise in various sectors, including banking, insurance, and infrastructure.

Your Responsibilities:

  • Developing credit rating models in R
  • Building intuitive UIs with R Shiny
  • Collaborating with analytical teams
  • Communicating complex concepts effectively
  • Staying updated with industry trends


  • Advanced R and R Shiny programming skills
  • Python developing skills
  • Hardcore developer
  • Finance industry background
  • Excellent communication skills
  • Strong analytical abilities
  • Experience in Python, Java, or C++ (preferred if not proficient in R/R Shiny)

What is in for you:

  • Competitive salary
  • Opportunity to work with cutting-edge financial technology
  • Collaborative and dynamic work environment

Reach us- If you feel that you are the right fit for the role please share your updated CV at

Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring


experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note: We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.

Profile Keywords- R, R Shiny, Python Developer, Hardcore Developer, Programming, Modeling, Credit Risk, Statistical Modeling, Finance, UI/UX Design, Python