Page 33 - Careers in Mathematics
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DataAnalystTrainee  learn SQL coding and how to work on databases, both of
          which I enjoyed.


          Since this initial project exposed me to many more facets of
 I wanted to  the business, including data integrity and quality, and I have
 study the
          gained many new skills such as data modelling, machine
 most
          learning and sentiment analysis. Through my broadened
 challenging
          exposure to the business, I have also developed new soft
 Muthembi
 degree I
          skills.
 could think
 of so started  A typical day starts at 8 am. Because I am on the graduate
 Sphiwe
 out doing
          programme, I meet with the other graduates, and we compare
 Actuarial Science – but soon  notes on how our work and projects are going. There is
 gravitated towards Finance and
          muchcollaboration which helps us to learn from one another.
 Coding so switched my UCT studies
 to a BCom with Economics and
          Adjusting to the world of work means learning to balance
 Finance.  priorities – I spend four days of the week doing real work with
          deliverables, with one day a week spent working on projects
 Today, I am part of Sanlam’s Data  with the other graduates. Both are challenging, interesting
 Analytics Graduate Programme,
          and fun.
 where I learn and grow my skills
 daily. The program involves a series
          To keep pace with the learning curve, I watch a lot of tutorials
 of rotations as well as a
          and YouTube clips, as well as doing a bit of forex trading in my
 combination of real and project  spare time. Keeping fit and active is key to my success and,
 work. My first rotation was a lab
          being quite tall I am an adept basketball player. I am always
 project for one of Sanlam’s sub-  eager to challenge myself, using initiative to take on tasks in
 clusters. I was responsible for
          my team, writing board exams (I have enrolled in writing an
 producing dashboards which
          Actuarial board exam), to trying new and efficient ways of
 connect the models my team were
          optimising the things I already know how to do such as
 building with meaningful
          developing my very own trading algorithm.
 information and data fed to the
 client. Working on this project
 introduced me to the opportunity to



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