Master in Actuarial and Financial Science postgraduate personal statement example

Personal statement example

Last summer our allotment society ran short of water for the first time in years, and as treasurer I had to decide whether to spend most of our small reserve on extra water butts or keep it for the shed roof, which was already leaking. Neither problem was certain to get worse, but both were likely to. Weighing a modest cost now against an uncertain but larger one later is, I have come to realise, a version of the question that runs through actuarial work, and it is the kind of question I want to learn to answer properly.

I studied Economics, choosing the most quantitative options available: probability and statistical inference, econometrics, and a mathematics module covering linear algebra and differential equations. My dissertation examined whether rainfall and housing density helped explain differences in the frequency of flood-related home insurance claims across regions, using publicly available aggregated figures. I fitted Poisson and then negative binomial regressions in R after finding that the variance of claim counts was well above the mean, which made the simpler model's standard errors misleadingly small. The results were modest. Rainfall was associated with higher claim frequency, while housing density added little once region was controlled for. The most useful part of the project was learning how much depended on exposure, because a region with more insured homes will naturally produce more claims, and I had to rebuild my dataset to use an offset term correctly. That experience made me want the formal grounding in risk theory and generalised linear models that I had only approached from the edges.

Since graduating I have worked as a pricing data assistant at a home insurer. My role is junior. I prepare and check datasets, reconcile policy counts between systems and produce routine monitoring reports for the analysts who make pricing decisions. Even so, it has shown me how the theory meets practice. I have seen how a change in the way a postcode field was recorded could quietly distort a monitoring chart, and how carefully the team distinguishes a genuine shift in claims experience from an artefact of the data. I taught myself enough SQL to automate one weekly reconciliation, which reduced a half-day task to under an hour and freed time for checking the outliers properly. Sitting in on discussions about reserving has made me aware of how much I do not yet understand about long-tailed liabilities and discounting, and that is a large part of why I am applying.

The financial side of the subject interests me as much as the insurance side. Reading John Hull's Options, Futures, and Other Derivatives alongside my job helped me see why insurers care about interest rate risk and how hedging connects assets to liabilities. I worked through the early chapters on forwards and the binomial model with a notebook of my own examples. I would like to study stochastic processes and financial mathematics rigorously rather than at the level of intuition I have now.

Outside work, the allotment treasurer role has taught me to keep clear accounts, explain decisions to members who do not enjoy numbers, and set aside a contingency rather than spend everything in a good year. We bought two water butts and patched the roof, and I now keep a simple fund for repairs that members can see. I also run three times a week, which has given me a steady habit of tracking progress over months rather than expecting quick results.

I am applying for postgraduate study because I want the mathematical and statistical depth to move beyond preparing data for others towards building and questioning models myself. I bring a solid quantitative foundation, practical experience of insurance data and a careful approach to checking assumptions. I would value the chance to develop these into professional actuarial competence.