Senior Quantitative Modeler

2 days ago

Navi Mumbai, Maharashtra, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000
Lead Quantitative Analyst Job Description

About the Role:

Our Structured Finance Analytics team is seeking a candidate with a strong analytical mindset. As a Lead Quant Analyst, you will be responsible for managing a team of Quant Analysts, providing support on automating data analysis processes, building and running data analytics to aid rating, research, and surveillance processes. You will also develop and enhance data analysis, data visualization, and workflow optimization tools.

  • Manage and mentor a team of Quant Analysts, providing guidance on technological enhancement and fostering a collaborative work environment.
  • Manage work priorities of the team, including quality and timeliness of delivery schedules, periodic reporting on work performance, project reporting, and interact regularly with the onshore team.
  • Lead and mentor the team on critical processes to achieve business goals.
  • Maintain regular and open communication with the Global Structured Finance Analytics team and Credit Technology team about assigned tasks, priorities, and ensure applications under development meet defined requirements and pass UAT prior to release.
  • Lead the team in transforming, improving, and integrating data depending on business requirements.

Requirements:

  • Minimum 9-11 years of relevant experience working in Credit Modeling/Model Validation roles.
  • Qualifications: MBA (Finance)/BTech/PHD (Math) from a Tier I college.
  • Knowledge of finance, statistics, behavioral sciences.
  • Strong Analytical skills. Experience with large databases/datasets preferred.
  • Expertise in Python/Data Science stack/Tableau/Microsoft Excel/MSSQL.
  • Experience with SAS/R is a plus.
  • Familiarity with AWS infrastructure is considered an added advantage.
  • Ability to manage multiple tasks at the same time and deliver results in a timely manner.

This is an equal opportunity employer.

Required Skills and Qualifications

The ideal candidate should have the following skills and qualifications:

  • Technical skills: Python, Data Science stack, Tableau, Microsoft Excel, MSSQL.
  • Business knowledge: Finance, Statistics, Behavioral Sciences.
  • Leadership skills: Ability to manage multiple tasks, lead a team, and make decisions.
  • Communication skills: Regular and open communication with the team and stakeholders.

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