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Episode 100: Actuaries in Research - Part 2 (Part 1)
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Manage episode 446247882 series 3397066
Content provided by Dominic Lee. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dominic Lee or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
My guest for Episode 100 is David Wilkie, CBE, FFA, FIA, FSS, FIMA, Hon D Sc, Hon D Math, Chairman at InQA Limited.
The theme for the episode is 𝗔𝗰𝘁𝘂𝗮𝗿𝗶𝗲𝘀 𝗶𝗻 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 - 𝗣𝗮𝗿𝘁 𝟮.
David and I covered the following topics in 𝗣𝗮𝗿𝘁 𝟭 of this historic episode:
✅ David’s early childhood and formative years
✅ What motivated David to become an actuary
✅ Building a strong foundation for academic research
✅ Mortality forecasting for the Committee of Mortality Investigation
✅ Early development of life and annuity tables
✅ The Financial Times Actuaries British Government Securities Indices
✅ Multi-state modeling for income protection insurance
✅ Mortality modeling for the COVID-19 Working Party
✅ Promoting the power of programming as an early adopter
✅ The evolution of programming in insurance and risk management
✅ The most significant development in the actuarial profession
𝗣𝗮𝗿𝘁 𝟭 Time Markers
2:34: Early years in Glasgow, education in Lancaster and Cambridge, and national service.
8:24: First actuarial role at Allianz Life in Stuttgart, actuarial exams, and qualification journey.
10:15: First programming experience with Ferranti Pegasus computer at Standard Life.
20:03: Early involvement with the Committee of Mortality Investigation (CMI).
22:23: Writing Fortran programs to produce graduated mortality tables.
24:58: Gompertz-Makeham model for force of mortality.
27:31: Developing share indices for the Joint Investment Committee.
32:35: Multi-state modeling for income protection insurance and epidemics.
43:04: Using historical mortality rates in Sweden, Spain, and Switzerland for COVID-19 modeling.
45:17: Fitting Lee-Carter model to population data and using time series to analyze time coefficient.
48:10: Using mixture models to account for kurtosis in COVID-19 data.
51:44: Using stochastic methods for modeling small pension funds.
54:02: Programming and coding today.
56:06: The impact of computers on the actuarial profession.
If you are an actuary interested in research, modeling, and programming, you want to listen to this.
My Website: maverickactuary.com
…
continue reading
The theme for the episode is 𝗔𝗰𝘁𝘂𝗮𝗿𝗶𝗲𝘀 𝗶𝗻 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 - 𝗣𝗮𝗿𝘁 𝟮.
David and I covered the following topics in 𝗣𝗮𝗿𝘁 𝟭 of this historic episode:
✅ David’s early childhood and formative years
✅ What motivated David to become an actuary
✅ Building a strong foundation for academic research
✅ Mortality forecasting for the Committee of Mortality Investigation
✅ Early development of life and annuity tables
✅ The Financial Times Actuaries British Government Securities Indices
✅ Multi-state modeling for income protection insurance
✅ Mortality modeling for the COVID-19 Working Party
✅ Promoting the power of programming as an early adopter
✅ The evolution of programming in insurance and risk management
✅ The most significant development in the actuarial profession
𝗣𝗮𝗿𝘁 𝟭 Time Markers
2:34: Early years in Glasgow, education in Lancaster and Cambridge, and national service.
8:24: First actuarial role at Allianz Life in Stuttgart, actuarial exams, and qualification journey.
10:15: First programming experience with Ferranti Pegasus computer at Standard Life.
20:03: Early involvement with the Committee of Mortality Investigation (CMI).
22:23: Writing Fortran programs to produce graduated mortality tables.
24:58: Gompertz-Makeham model for force of mortality.
27:31: Developing share indices for the Joint Investment Committee.
32:35: Multi-state modeling for income protection insurance and epidemics.
43:04: Using historical mortality rates in Sweden, Spain, and Switzerland for COVID-19 modeling.
45:17: Fitting Lee-Carter model to population data and using time series to analyze time coefficient.
48:10: Using mixture models to account for kurtosis in COVID-19 data.
51:44: Using stochastic methods for modeling small pension funds.
54:02: Programming and coding today.
56:06: The impact of computers on the actuarial profession.
If you are an actuary interested in research, modeling, and programming, you want to listen to this.
My Website: maverickactuary.com
102 episoade
MP3•Pagina episodului
Manage episode 446247882 series 3397066
Content provided by Dominic Lee. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dominic Lee or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
My guest for Episode 100 is David Wilkie, CBE, FFA, FIA, FSS, FIMA, Hon D Sc, Hon D Math, Chairman at InQA Limited.
The theme for the episode is 𝗔𝗰𝘁𝘂𝗮𝗿𝗶𝗲𝘀 𝗶𝗻 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 - 𝗣𝗮𝗿𝘁 𝟮.
David and I covered the following topics in 𝗣𝗮𝗿𝘁 𝟭 of this historic episode:
✅ David’s early childhood and formative years
✅ What motivated David to become an actuary
✅ Building a strong foundation for academic research
✅ Mortality forecasting for the Committee of Mortality Investigation
✅ Early development of life and annuity tables
✅ The Financial Times Actuaries British Government Securities Indices
✅ Multi-state modeling for income protection insurance
✅ Mortality modeling for the COVID-19 Working Party
✅ Promoting the power of programming as an early adopter
✅ The evolution of programming in insurance and risk management
✅ The most significant development in the actuarial profession
𝗣𝗮𝗿𝘁 𝟭 Time Markers
2:34: Early years in Glasgow, education in Lancaster and Cambridge, and national service.
8:24: First actuarial role at Allianz Life in Stuttgart, actuarial exams, and qualification journey.
10:15: First programming experience with Ferranti Pegasus computer at Standard Life.
20:03: Early involvement with the Committee of Mortality Investigation (CMI).
22:23: Writing Fortran programs to produce graduated mortality tables.
24:58: Gompertz-Makeham model for force of mortality.
27:31: Developing share indices for the Joint Investment Committee.
32:35: Multi-state modeling for income protection insurance and epidemics.
43:04: Using historical mortality rates in Sweden, Spain, and Switzerland for COVID-19 modeling.
45:17: Fitting Lee-Carter model to population data and using time series to analyze time coefficient.
48:10: Using mixture models to account for kurtosis in COVID-19 data.
51:44: Using stochastic methods for modeling small pension funds.
54:02: Programming and coding today.
56:06: The impact of computers on the actuarial profession.
If you are an actuary interested in research, modeling, and programming, you want to listen to this.
My Website: maverickactuary.com
…
continue reading
The theme for the episode is 𝗔𝗰𝘁𝘂𝗮𝗿𝗶𝗲𝘀 𝗶𝗻 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 - 𝗣𝗮𝗿𝘁 𝟮.
David and I covered the following topics in 𝗣𝗮𝗿𝘁 𝟭 of this historic episode:
✅ David’s early childhood and formative years
✅ What motivated David to become an actuary
✅ Building a strong foundation for academic research
✅ Mortality forecasting for the Committee of Mortality Investigation
✅ Early development of life and annuity tables
✅ The Financial Times Actuaries British Government Securities Indices
✅ Multi-state modeling for income protection insurance
✅ Mortality modeling for the COVID-19 Working Party
✅ Promoting the power of programming as an early adopter
✅ The evolution of programming in insurance and risk management
✅ The most significant development in the actuarial profession
𝗣𝗮𝗿𝘁 𝟭 Time Markers
2:34: Early years in Glasgow, education in Lancaster and Cambridge, and national service.
8:24: First actuarial role at Allianz Life in Stuttgart, actuarial exams, and qualification journey.
10:15: First programming experience with Ferranti Pegasus computer at Standard Life.
20:03: Early involvement with the Committee of Mortality Investigation (CMI).
22:23: Writing Fortran programs to produce graduated mortality tables.
24:58: Gompertz-Makeham model for force of mortality.
27:31: Developing share indices for the Joint Investment Committee.
32:35: Multi-state modeling for income protection insurance and epidemics.
43:04: Using historical mortality rates in Sweden, Spain, and Switzerland for COVID-19 modeling.
45:17: Fitting Lee-Carter model to population data and using time series to analyze time coefficient.
48:10: Using mixture models to account for kurtosis in COVID-19 data.
51:44: Using stochastic methods for modeling small pension funds.
54:02: Programming and coding today.
56:06: The impact of computers on the actuarial profession.
If you are an actuary interested in research, modeling, and programming, you want to listen to this.
My Website: maverickactuary.com
102 episoade
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