Careers outside Academia - USC Computer Science Masters and Ph.D. Students
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Talk given at USC CS Colloquium to grad students (http://viterbi.usc.edu/news/events/?event=10265). The topic was - Prospective Careers outside Academia.
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Careers outside Academia - USC Computer Science Masters and Ph.D. Students
- 1. First steps to a Successful Career Ashwin Rao USC, Los Angeles, Nov 2013
- 2. My background • B.Tech. Computer Science. IIT-Bombay. • Ph.D. Algorithmic Algebra. USC, Los Angeles. • VP. Quant Strategist. Goldman Sachs, NY. • Managing Director. Morgan Stanley. • Founder. ZLemma.com (A Tech Startup)
- 3. Life after ‘SC • USC tag follows you J • Learning curve actually gets steeper • Acquire versatility in skills and personality • Associate with people different than you
- 4. What are suitable jobs for me ? • You can figure it out objectively • Glamour, Money and the Mom Syndrome • Introspect on your Skills and your Interests • Think Career, not Jobs
- 5. Prepare Well, but Chill Out • Research the various jobs thoroughly • Advice from peers and alumni? • Personal Life versus Professional Life • Never compare yourself with others! • Easy to correct bad jobs or wrong decisions
- 6. Should I go to Grad School? • Titles like M.B.A., Ph.D. - what is their value? • What do the best employers care about ? • Ph.D. è If you want to be in academia/research • M.B.A. è If you want to hit the Reset button • Masters versus Ph.D.
- 7. Quant Finance Jobs • Derivatives Trader • Trading Desk Quant Strategist • Derivatives Modeler, Statistical Modeler • Algorithmic Trading Quant • Analytics Developer
- 8. Current Wall Street Scenario • Regulations have reshaped the industry • Compensation levels down but still high • Engineers are thriving in quant finance • Markets turning increasingly electronic • More emphasis on vanilla trading businesses
- 9. Tech Jobs • Boom in Tech, particularly in Silicon Valley • Compensation levels are growing fast • Big Data is the new buzz • Google, Facebook, Apple, Amazon • Are Tech jobs boring?
- 10. Silicon Valley versus Wall Street • Do you enjoy Continuous Math? • Depth versus Breadth • Office environment and Colleagues • Compensation • Location
- 11. Some important topics • Statistical Learning • Functional Programming • Domain Specific Languages • Quantitative Modeling • Architectures for Big Data
- 12. Startups • Appetite for Volatility • <Market, Product, Team> • Funding • Advisors • Passion
- 13. Resume • One-pager with precise education/work details • Links to LinkedIn, Github, Stackoverflow … • Reflection of your communication skills/style • Less drama, more objectivity • State your international exposure, if any
- 14. Interviews • Represent your abilities clearly and accurately • Typically, a large and diverse set of interviewers • Flood of puzzles/programming/math problems • Tough Qs in your claimed areas of expertise • Evaluation of your communication and attitude
- 15. ZLemma • Zlemma.com evaluates your profile in great detail • Zlemma Quotient (ZQ) – your suitability for a job • ZQ is a score out of 100 for a specific job • Apply for high-ZQ jobs of interest to you • Jobs ranging from Silicon Valley to Wall Street
- 17. Addendum • Tune in to: blog.zlemma.com • Write to: ashwin@zlemma.com for advice • Our app is your friend: zlemma.com