Randstadeos

Risk Analytical Consultant

Posted Sep 11, 2024
Project ID: R-391172
Location
Hyderabad, Telangana, Hybrid
Hours/week
45 hrs/week
Timeline
4 years
Payrate range
2000000 - 3200000 ₹/year
  • Lead or participate in moderately complex initiatives and delivering insight and decision strategies within analytics and reporting and contribute to large-scale planning related to Risk Analytics.

  • Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models.

  • Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance.

  • Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements.

  • Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals.

  • Lead projects, teams, and mentor less experienced staff.

  • Partner with cross enterprise risk analysts in development of common modeling strategies.

Required Qualifications, :

2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • Advanced degree in quantitative discipline such as economics, statistics, operations research, etc…

  • Strong verbal and written communication skills, and advanced MS Office Suite product skills to include (MS Excel, MS PowerPoint, MS Outlook, MS Word, etc…).

  • Excellent proficiency in programming and data manipulation using SAS, SQL, Python, and Tableau.

  • Strong analytical and quantitative skills.

  • Ability to gather, analyze, package, and present analytical findings in an insightful and logical manner.

  • Previous experience with credit risk strategy development and monitoring in financial service industry.

  • Attention to detail, strong partnership, and problem-solving skills.


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