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Model Development & Monitoring Analyst SAS/Python

Model Development & Monitoring Analyst SAS/Python

Teamware Solutions
  • Posted 11 hours ago
  • Be among the first 10 applicants

Job Description

About the Company

Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt. Ltd

Teamware Solutions (a division of Quantum Leap Consulting Pvt. Ltd.) is a 20+ year industry leader providing IT staffing and consulting services, supporting 4000+ professionals across India, the USA, the Middle East, and APAC for leading GCC clients.

About the Role

We are hiring a Model Development & Monitoring Analyst – SAS/Python

  • Locations: Bangalore/Gurgaon /Noida
  • Work Model: Hybrid
  • Experience: 4-6 years
  • Notice Period: Immediate - 15 days

Profile Preference:

Looking for candidates with strong hands-on experience in SQL, SAS and Python, with the ability to write clean, maintainable and well-documented code. Experience in Fraud/Financial Crime model development or validation is an added advantage, but not mandatory.

Requirements:

  • Strong experience in SAS and Python.
  • Good to have experience with Fraud models and Financial Crime experience.
  • Solid understanding of relational databases and proficiency in SQL.
  • Strong knowledge of Model Risk Management and the different aspects of MRM – development, validation, implementation, monitoring, governance, etc.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.

Must haves –

  1. SAS, SQL and basic python knowledge.
  2. Experience with data management, data cleaning, preparation of modeling datasets.
  3. Ongoing Model Monitoring experience.
  4. Basic Stats.

Good to have – Fraud model development/validation experience with exposure to vendor models like VISA, Actimize, LexisNexis, etc.

Experience – 4-6 years in the above domain.

Number of resources – 2-3.

Please let me know if you are interested in this position and send me your resume to [Confidential Information]

Key Skills

Model Risk Management

Preparation of modeling datasets

About Company

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