[Free] Quantitative Analyst, Developer, Strat: The Profession
The free version of the course – Free Course
What you’ll learn
- Learn what quant analysts (QA) really do at work
- Grasp organizational structures of Buy and Sell side firms, as well as of Consulting and Fintech
- Explore different QA roles in Buy and Sell side firms, as well as in Consulting and Fintech
- Understand daily operations of the trading desks and pods
- Go through worked examples of typical reports generated: PNL, Risk, Attribution and Regulatory
- Get familiar with the structure of the QA libraries
- Learn about the required skills
- Get the job progression and pay demystified
- Have a general overview of the modelling methodologies
Requirements
- Some basic exposure to the quant profession and mathematical finance is a plus
Description
The first of a kind course that teaches what the job of a quantitative analyst, developer or strat really is. There will be nearly no math, but you will learn learn about the exact types of the quant jobs, daily routines, reports being generated, quant library organization, as well as skills that are really necessary and the career prospects.This course will teach you about cash vs accrued accounting, recognition of various transactions on the balance sheet and income statements, Position and PNL reports, risk reports and PNL attribution, library development and release process, dynamics with IT and relationships with the regulators. We will even touch on the fairly sensitive topics about true motivation of quants and expected progress of pay, as well as the feasibility of changing specialization.
You will be instructed in the crucial concepts of the work ethics in a financial firm, and in business in general, and get some hints on how to develop EQ and social skills. As a bonus, there will be a holistic overview of the modelling approaches at the very end and a very nice musical introduction!Sections on the organizational structure and reports will be also useful for non-quant graduates, including MBAs and CFA candidates.
Author(s): Andrey Chirikhin
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