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Low-latency C++ for HFT and quant infrastructure is not about syntax. It’s about memory, predictability, and systems thinking. Most people β€œlearn C++” the wrong way writing Python-style abstractions,
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My mentor gifted me Paul Wilmott on Quantitative Finance when I was just starting out. It was meant to be an introduction, but it quickly became something much more. I’ve read it so many times that it
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Quant internships at hedge funds are not the same as bank roles. This post breaks down: β€’ which hedge funds hire interns β€’ the quant profiles they open (research, trading, dev) β€’ the skills they actu
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You’ve heard of Monte Carlo. But understanding it β‰  being able to use it. In quant finance, it’s used for: β€’ option pricing β€’ risk modeling β€’ stochastic simulations Start here: β€’ Longstaff-Schwartz
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Most people read research papers like students. That’s exactly why nothing clicks. Real quant mindset: β€’ Don’t read everything β€’ Don’t chase understanding β€’ Find the signal β†’ ignore the rest If you
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Quant firms do not care about your finance degree as much as you think they do. A physics PhD who has never read a balance sheet will get the offer over a finance graduate who knows markets inside ou
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Every quantitative finance MFE programme ranked by tuition cost, average compensation and employment rate. The data will change how you think about which programme is actually worth it. Baruch Colleg
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Long-Term Capital Management. Two Nobel Prize winners. $125 billion in assets. Gone in 5 weeks. This is the most important risk management case study in quant finance history. Most quant researchers c
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If you only know Python you are a researcher. Not a quant dev. Most people applying to HFT firms in 2025 have the same resume. Python. Pandas. A backtest. A Sharpe ratio. None of that gets you past
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Most quant projects look good on GitHub but fail in real trading. The difference is not Python. It’s what you choose to build. These are not tutorials. These are ideas used in actual quant workflows
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If you're building quant finance or algorithmic trading projects, reliable financial data is essential. Many quant researchers use sources like Nasdaq Data Link, FRED, SEC EDGAR, and Kaggle to access
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Python is one of the most important tools used in quantitative finance. From data analysis to building trading strategies, quant researchers rely heavily on Python libraries like NumPy, Pandas and vi
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About @quantchics

Quantgirl is a verified Instagram micro influencer in the Entrepreneur category. With 14.9K followers and 112 posts, quantchics's account shows a follower-to-following ratio of 79.4:1. This profile demonstrates strong community engagement within its niche. View all content anonymously on Pictame - no login required.

quantchics's engagement rate sits at 6.38%. That's 155% above what you'd typically see for accounts with 10K-100K followers (average 2.5%) β€” a sign of a genuinely connected audience.

Out of the last 12 posts, 58% are videos and 42% are photos. Notably, photos tend to get 1.9x more engagement than videos. Content shows up about every 12 days. Captions lean detailed, averaging 788 characters.

6.38% engagement rate β€” 155% above average for 10K-100K follower accounts.
58% videos, 42% photos. Photos get 1.9x more engagement here.
Posts about every 12 days.
79.4:1 follower-to-following ratio.

FAQs About @quantchics

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quantchics
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@quantchics

Quantgirl

PublicEntrepreneur
Posts
112
Top Hashtags
#PaulWilmott#QuantBible#QuantFinance#QuantitativeFinance#QuantResearch#FinancialEngineering#RiskManagement#QuantTrading

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#trending#viral#explore#reels#explorepage#aesthetic#handmade#artist#illustration#design#drawing#outfit
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819
Avg. Comments
133
Engagement
6.38%

Quant research β†’ helping you break in 🎯 Helped 40+ land quant roles & interns CV audits Β· roadmaps Β· resources ↓ Quant ...

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