Hello, fellow Quants!
Welcome to our weekly newsletter, where we share the latest jobs/internships, educational opportunities, and upcoming events in quantitative finance.
Here’s what we have on this week’s agenda:
Internships
Full-Time Jobs
Upcoming Events
Educational Resources
Quant Puzzle
Our Top Internships
✨ Bridgewater Associates - Investment Associate Intern (Summer 2024) | a premier asset management firm, focused on delivering unique insight.
✨ Resera Capital - Quantitative Researcher Intern | a financial services company, founded by Ken Eberts in 2020, located in New York.
✨ MGIC - Quantitative Risk Intern | a leader in the private mortgage insurance industry helping to provide affordable homeownership.
✨ Samsung - Applied Mathematician, Computational Scientist Intern | Samsung’s advanced research & development hub.
Our Top Full-Time Positions
✨ Flow Traders - Statistical Arbitrage Analyst | a market maker that uses high-frequency and quantitative trading strategies.
✨ Balyasny Asset Management - Macro Trader | a global, multi-manager multi-strategy investment firm.
✨ Cumberland (DRW) - Quantitative Researcher | a specialized crypto asset trading company within DRW, a well-established and diversified trading firm.
✨ BHG Financial - Quantitative Analyst, Credit Risk | an American financial services company providing risk management and lending services.
✨ BNP Paribas - Equity Derivatives Analyst | a bank offering financing, investment, savings, and protection services.
Upcoming Events
📆 4/25 - NYU Mathematical Finance & Data Science | a virtual seminar covering Excess out-of-sample risk, fleeting modes and Random Matrix Theory.
📆 4/25 - Berkeley Consortium for Data Analytics in Risk | a virtual seminar covering Tax Loss Harvesting Optionality.
📆 Cubist Systematic Strategies Quant Academy Program | a rotational program where fellows will work on different quant teams within Cubist.
Educational Resources
🚀 Mathematics for Machine Learning Textbook | a textbook covering the underlying mathematics used by many foundational machine learning concepts.
🚀 Jane Street Tech Blog - Building reproducible Python environments with XARs | a blog post on how Jane Street helps researchers write reproducible code.
🚀 Exporting a Model From PyTorch to ONNX and Running it Using ONNX Runtime | a tutorial on how to create high-performance deep learning models.
Weekly Quant Puzzles
Question #1 - Sequences
1, 2, 4, 7, 13, 24, 44, ?
2, 3, 7, 14, 24, 37, ?
Question #2 - Brainteaser
A farmer is on his way back from the market, with him he has a fox, a chicken, and some grain. When he reaches a river crossing he must use a small boat only big enough for him and one other item. Unfortunately, if the fox is left alone with the chicken it will eat it, as will the chicken eat the grain. Explain how the farmer can cross the river.
Quote of the Week
“The world tends to view quantitative and fully discretionary investing as distinct and separate, but the opportunity set [to make money] is not as cleanly divided” - D.E Shaw