CS2-Risk Modelling and Survival Analysis

32,000.00

CS2: Risk Modelling and Survival Analysis – Regular Course.
Faculty: Shivangee Agarwal
Course Duration: 200+ hours

Category:

📘 Risk Modelling and Survival Analysis

Risk Modelling and Survival Analysis (CS2) is the paper you should opt for to build a strong foundation in advanced statistical techniques essential to actuarial work. This paper develops a grounding in the principles and methods required to model uncertain future events, mainly focusing on understanding and applying survival models and stochastic processes to analyse life insurance, pensions, and other financial risks. Alongside this, the related and required understanding of credibility theory, time series, and simulation techniques to model and quantify risk are also developed. It is available through both the institutes, the Institute of Actuaries of India (IAI) and the UK-based Institute and Faculty of Actuaries (IFoA).

🔍 Why is CS2 Important?

  • CS2 makes you efficient in statistical and risk modelling, which is essential throughout your actuarial journey.
  • CS2 helps in analyzing survival models in core Actuarial work.
  • CS2 covers processes like Markov models and Poisson processes, essential for modelling cashflows that evolve randomly over time.
  • You can also give CP3 (Communication Practice) along with CS2 – a good combo for knowledge.

🧠 Main Topics in CS2 (Subjective)

CS2 covers both theoretical and practical topics like:

  • Survival models and lifetime distributions – estimation of lifetime distribution.
  • Multiple state models – markov models for life and health insurance.
  • Stochastic processes.
  • Credibility theory – Bayesian credibility approaches.
  • Simulation methods – monte Carlo simulation of cash flows and reserves.
  • Time series analysis.

💼 Where Can You Use CS2 Knowledge?

  • Life insurance and Pensions – building survival models to project mortality, longevity or morbidity.
  • General insurance pricing and reserving – using credibility theory to set premiums when you have partial claims experience.
  • Solvency and capital modelling – running simulations to estimate the probability of ruin or shortfall.
  • Health and disability insurance – estimating transition intensities to value cash flows.
  • Running Monte Carlo simulations to stress test reserves and capital.

📝 How to Prepare for CS2?

  • Focus on building the understanding on the topics survival models, stochastic process, markov jump processes, graduation techniques and risk models.
  • Start practicing Paper B and master the platform of R by using survival, actuar and markovchain packages.
  • After completing the syllabus two times with revision, start solving the PYPs and give Mock Tests and learn from examiner reports.

📑 Structure of CS2

CS2 is divided into two parts:

Component Exam Format Duration
CS2A – Theory IAI: Computer-Based MCQ
IFoA: Written theory (MS Word) ( 5 minutes extra for downloading)
3 hours 15 minutes
CS2B – Practical R-based application test using real actuarial problems (15 minutes extra for uploading) 1 hour 45 minutes

📚Topics Covered and their Weightings

Topic Weightage
Random variables and distributions for risk modelling 20%
Time Series 20%
Stochastic process 25%
Survival models 25%
Machine learning 10%

📊 Passing Criteria

Institute Passing Marks
IAI (India) 50% (Fixed); 30% in both Paper A and Paper B
IFoA (UK) 56%–65% (Varies by term)
WHAT YOU WILL GET

Course Deliverables

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Recorded lectures (A + B )
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Soft copy of resources
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Access to Student dashboard
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100% Placement & Training Assistance
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Technical support
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Practice papers
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Chapter wise MCQ mocks
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1:1 mentoring sessions
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Live Industry expert sessions
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Live Concept classes ( A + B )
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Mock Test with Detailed evaluation (2 Sets)
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Hard copy of AEI Personalized Compiler
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Doubt solving sessions
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Course extension (2 more terms)
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Interactive Q & A Forum

Meghna AgarwalAIR 1
Muskaan ChhabraAIR 1
Aman Shah86
Madhu sharma85
Siddharth Sonthalia84
Ruchi Mittal83
Bhanu Gupta83
Vandita Sarda82
Anoushka Kothari81
Devansh Dhona81

FACULTY

Meet The Instructor


Shivangee Agarwal is a Qualified Actuary with a Master’s in Data and Business Analytics from IIM Indore. She secured All India Rank 1 in CT7 – Business Economics and holds a B.Com (Hons in Finance) from St. Xavier’s College, Kolkata. Over 6+ years, she has taught 2500+ students in Actuarial and Data Analytics domain, becoming a favourite coach for CS2, CB2, CP2, and CP3 papers. She has expertise in Excel and R Programming. Her inspiring journey led her to conduct workshops and lectures at various colleges like Lady Shri Ram College, St. Xavier’s College, SRCC, Mithibai College, IIM Indore and IBS Hyderabad.

Gaurav Kumar Patwary is a risk management professional with over two years of experience in model risk management for quantitative finance-based models used in the Asset Management division of a multinational bank. He holds a Bachelor’s degree in Economics from St. Xavier’s College, Kolkata, and a Master’s degree in Economics from Delhi School of Economics. Additionally, he has cleared 7 out of 13 actuarial papers from the IAI. During his work, he has also gained hands-on experience in Python, developing codes to test and challenge various aspects of models, further enhancing his technical skillset. His academic background and industry experience provide a strong foundation in statistics, economics, and finance.

PLAYLIST

Demo Class Videos


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