By adopting artificial intelligence (AI) strategies and moving away from more traditional or legacy processes, financial institutions can be better equipped to manage periods of economic uncertainty and position themselves for growth.
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How Artificial intelligence can help the financial services industry.
By adopting artificial intelligence (AI) strategies and moving away from more traditional or legacy processes, financial institutions can be better equipped to manage periods of economic uncertainty and position themselves for growth.
Read MoreSolving problems and overcoming obstacles in GAAP LDTI Long Duration Targeted Improvements webcast
While the timing of the implementation of the standard has been well known, time is now of the essence.
Read MoreIFRS 17 – Race to the Finish – Disruption and Transformation at Your Doorstep
While the timing of the implementation of the standard has been well known, time is now of the essence.
Read MoreIFRS 17 – The Race to the Finish – The Standard vs. Implementation Realities
interpreting the requirements of the standard into actual operationalized procedures is a much more complex exercise..
Read MoreIFRS 17 – The Race to the Finish – Technology Solution Point-to-Point vs. Data Hub
Compliance can’t be achieved without substantial alignment of supporting IT systems..
Read MoreIFRS 17 – Race to the Finish – Don’t Underestimate the Complexity, Even for P&C
For most short-term business, the premium allocation approach (PAA) can be used and it generally gives bottom- line results similar to current practice.
Read MoreIFRS 17 – Race to the Finish – The Right Strategy for Data
By now, most insurers have established an IFRS 17 implementation plan and are working on the design of their solution.
Read MoreIFRS 17 – Race to the Finish – Actuarial Work and IFRS 17
Model changes sometimes sound simpler than they really are. One constant in our IFRS 17 projects is that change ends up being more complex and require more resources than anticipated.
Read MoreIFRS 17 – Race to the Finish – The Link Between IFRS 17 and IFRS 9
When many insurers think of implementing IFRS 17, they may not recognize there other standards that may also need to be applied—including IFRS 9..
Read MoreEffective Systemic Risk Management for the Insurance Industry
The problem and largest challenge with systemic risk identification and management is that high-risk activities and high-risk companies are often identified only with hindsight. This article identifies risk factors and proposes a framework for systemic risk management that can be applied in advance by regulators, company management, and other stakeholders.
Read More2021 AXIS Conversions | What is Involved? An in-depth look into Valani Global’s Best-In-Class Process
Valani Global is a niche consulting firm that solely focuses on Moody’s risk management software solutions. We are also part of the Moody’s Global PartnerAlliance program, which is an expert network that offers delivery and support options for Moody’s Analytics clients.
Using our expertise, we have performed 100+ transformations from different data sources to Moody’s software solutions, including AXIS and RiskIntegrityTM.
100% of our consultants are fully certified in RiskIntegrityTM for IFRS 17. We do not hire juniors who learn on the job at your expense.
Once a resource is allocated to a client, they will remain dedicated to the project until com- pletion.
The success and satisfaction of our clients are paramount to us. We will work hard to ensure that our work meets or exceeds your standards.
Consultants’ views of IFRS 17
Santiago Fiallos, Senior Manager, Actuarial & Quantitative Services, at Sia Partners; and Nazir Valani, President and Co-Founder, Valani Global share their thoughts on IFRS 17 implementation at non-life insurers.
Read MoreTechniques for Taming Model Risk
By the end of 2022, many major accounting regimes commonly used by actuaries will have significantly changed. Most of these changes are material and will increase the complexity of models needed to calculate actuarial-related balances. New regimes like Principle-Based Reserving (PBR), GAAP LDTI, and IFRS 17 require detailed cash flow projection models, often with multiple assumptions sets that need to be updated frequently, increasing model complexity and risk.
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