Day in the life - quant trader
As title implies, wondering if someone could provide a summary of the day in the life of a quant trader at a place like JS, Two Sigma, etc.
As title implies, wondering if someone could provide a summary of the day in the life of a quant trader at a place like JS, Two Sigma, etc.
| +39 | HF Start-up salary expectation | 14 | 1d |
| +21 | Navigating pod politics | 7 | 1d |
| +18 | Undergrad Hedge Fund Programs | 7 | 2d |
| +18 | Recruiting from Low-Quality Fund | 1 | 13h |
| +13 | HC or M&A IB Group for HF | 7 | 2d |
| +12 | The 8 MNPI control gaps SEC examiners keep flagging | 0 | 3d |
| +12 | How hard is it to go from a large L/O to a Hedge Fund (Either L/O or L/S) | 2 | 11h |
| +9 | LSE EME vs MIT MFin | 3 | 1d |
| +9 | Analyst / PM Divide & Trade Book | 2 | 14h |
| +7 | How is this Career Progression Possible? | 9 | 22h |
Career Resources
Not a trader so 🤷♂️, but here is my take.
Being a trader at Jane St is an “actual” trading job. You get a lot of help from your tools (that you build yourself or are built for you in-house), but you are responsible for your own trading decisions. You sit at your desk the entire trading day and you are manually booking trades. We hear most about the client facing interactions, like helping client offload large stakes of illiquid securities. I’m sure that’s just a small percentage of the overall business, though.
Being a trader at Two Sigma is different. Two Sigma hires multiple orders of magnitude fewer traders. Manual trades are not the default. Traders work on projects. This could be related to automation in trade optimization, or validating backtests for when the tradable universe changes, for example.
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