Job Title:  Manager | Actuarial Science | Delhi | Regulatory & Financial Risk

Manager | Regulatory, Risk & Forensic – Regulatory and Financial Risk | Actuarial Science

• Location:  Delhi

The Team

Deloitte Strategy, Risk & Transaction helps entities mitigate risk while discovering new opportunities to create value. Our end-to-end risk services span all domains, from managing strategic risks in the C-Suite to improving board oversight, and from balancing financial and environmental policies to addressing cyber threats. Learn more about Risk, Regulatory & Forensic)

Your work profile

• Expertise - must have a strong understanding, in at-least one of the two areas; Solvency II / RBC IFRS 17
• Should have worked in a range of actuarial areas such as valuation, business planning, financial reporting, pricing, experience analysis, management of par business etc. as against being a career pricing or valuation actuary. One of the 6 roles could be for someone who is an ALS modelling expert
• Other requirements:
• Adaptable, inquisitive and quick learner (not a role for someone who prefers structured work driven by a process)
• Technically strong to be able to put forward a strong challenge to first line model owners
• Strong oral and written communications to communicate the message clearly and deal with senior stakeholders
• Must have worked with Prophet (user capacity is fine, doesn’t need to be a coder)
• Should be able to take guidance / direction well and proceed further independently
• While work will be overseen & guidance provided by another senior team member, the candidate will remain directly responsible for his work

Key skills required: 

• Desired qualifications Master’s degree or higher in Quantitative Finance, Statistics, Mathematics, Engineering, or related field
• 6 to 9 years of experience in modelling or validation of Wholesale IRB capital models, IFRS9, Climate Risk Modelling experience within large banking organizations
• Strong technical skills in Python, R, SAS, SQL and knowledge of credit modelling statistics