It's likely that I will transition from a phd in physics -> quant finance. The NP boards have been a tremendous help, but due to NP's nature, the information is decentralized.

Here's my best effort at centralizing links of value to me! My selection criteria is that I find the link interesting. I'm not interested in working in CA, as a result, that thread doesn't make it on this page. I think that I reflect a fairly large cross section of NP readers, so I imagine that others will find this useful.

This site inspired by Drews post.

Basics:

• Mark Joshi's excellent article.  Quick introduciton to different kinds of quants.

• Junior Quant Preparation Guide - Interview Questions
• Quantiative Research

Recommended Reading:

• Heard on the Street: Interview Questions for quant positions
• Financial Calculus
• Quantlib's Recommended Reading
• Easy/fun reading
• Riddle web site
• Applied Quantitative Finance

Interesting Threads:

• Passion is key, because getting a job is hard!
• Finance is Incentive Driven
• Apply when Ready!  An application can limit your future actions.
• Drews job hunt.  Actually, the whole Drews series is fascinating.  Many thanks to him.
• Drews got his first Finance Job!, Erik gets his first finance job!
• Exercise caution in selecting a head hunter.
• Phone interviews are precious, consider all the details.
• Getting an interview is tough!
• An inspired way to get a job.  Walk the walk.
• Some Interview Questions.,More interview questions,Stat arb interview questions., More, more 2
• C++ Specific interview Questions,Do I really need to know C++ if I'm not a developer quant??
• Interview Advice
• Why do you think you'll be a good XXX?
• Mathematical \"intuition\" matters.
• Rare discussion of compensation.
• How to dress
• Skills for algorithmic trading
• I'm skilled in X, will this make me marketable?  Long + interesting twists in this thread.
• What skills do i Need?
• Good Headhunter

Job Boards:

• Quantster

Meta:

• People put a lot of time + thought into NP, don't mess it up.

Random:

• Intersting paper by Mark Carhart

Education:

• Computational Finance @ CMU
• Mathematical Finance @ Columbia
• Mathematical Finance @ NYU

Audio:

• Interview