Confidence interval measures the degree of certainty. A 95% confidence interval means we are 95% sure that results will lie within a specified outcome but 5% uncertain about the results. A confidence interval of 95 signifies that in a sample or population analysis, 95% of the true values would provide the same mean value.

The cumulative distribution function of X means the probability that X will take a value less than or equal to X. It is used to describe the probability distribution function of random variables.

Ensuring that business adhers to all regulatory frameworks and policies. Ensuring the policies are practical. Providing clear communication and documentation.

There are different laws to provide for regulating and developing the profession of Actuaries. In subject CP1, we learn about different actuarial standards to ensure that basic principles and rules are adhered to.

If it is small- ignore it and just document it for future reference. If it is large then first acknowledge it in the mail, update it, and send the updated one asap. There is no harm in accepting that it has some errors and we will send you the updated file asap.

I have a passion for maths. I find working with numbers easy, and I can put my natural aptitude for mathematics to work. As an actuary, I get to work with other people and contribute to larger projects, giving my work a sense of purpose. I also appreciate that the position uses various skills, so I can also develop my skill set and find new ways to communicate with others and improve the position.”

Actuaries are basically involved in analyzing the financial costs of risk and uncertainty. They use mathematical and statistical skills to analyze different risks and accordingly mitigation measures.

Critical thinking, number crunching skills, problem solver

My toughest challenge in my work experience is that I was asked to handle a new technical domain part of my project. Although I was trained in the technology, it was quiet challenging to understand the requirements and confirm on the efforts its going to take. However, my manager was a nice person, he stood with me in initial days and give me extra days to sort things out. After few tasks I was rather becoming a expert and was able to help many who joined with me.

Understanding trends and activities, researching on trends, making reports and projects and presenting the results to clients

I feel Challenges make us strong and sound in technical skills.

Confidence, curiosity, Stress Management, Handling pressure. How to be calm and composed

Moving out of hometown and leaving family. 

Learning new things always keeps me motivated.

I was not too expert in technical part of project but then eventually learned it with the help of peers and managers and excelled in that as well. 

I have good number crunching skills & i have good problem solving skills & i am a good team facilator.

Python pros- Flexible, Able to hand large data. Python Cons- Slower than other languages, High memory consumption. 

Actuarial analysts use statistical models to analyze data and assess risk. They utilize their knowledge and skills to design and price insurance policies. Actuarial analysts use advanced statistics and modeling to understand data and assist actuaries.

Topics- Algebra, probability, differential equations, statistics, calculus, and regression analysis. Skills- Maths, stats, finance, presentation, computer science, economics. 

The best part of being an actuary is crunching the numbers on a daily basis & everyday you learn something new .

An investment banker who has actuarial skills will be well equipped to assess how much risk is attached to each merger, acquisition or investment in stocks and hedge funds. An actuary has expert skills at projecting future cash flow. This skill can prove to be immensely invaluable in mergers and acquisitions for business owners. Typically companies rely heavily on the financial reports and assessment of an investment banker of companies during mergers and acquisitions. The ability to predict future cash flows with scientifically backed statistical models can bring a lot of clarity during decision making. Skills in actuarial science equip an investment banker with the mathematical skills, modeling skills, ability to understand financial statements with ease.

Actuarial report is basically analysis of an organization’s gain and loss using different assumptions and statistical skills that an actuary has

Topics- Linear algebra, probability, differential equations, statistics, calculus, and regression analysis. Skills- Maths, stats, finance, presentation skills, computer science, economics. 

Statistical data in spreadsheet form used by different companies and organizations depicts the probability of death of different persons on the basis of Age, Gender and other different factors

Used for modelling claim sizes. Mainly used in general insurance companies