821.2K
JUHere are some of the topics that you should be familiar with if you’re looking to get into quant finance!
#quant #quantfinance #optionstrading #algotrading
@julias.algos
#Quantfinance
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217.4K
JUHere are some of the topics that you should be familiar with if you’re looking to get into quant finance!🧮
#quant #quantfinance #optionstrading #algotrading
@julias.algos
141.8K
MAFor you all…cybergeekgyan is doing some hard work for everyone who is interested in breaking into quant finance as a career #quant #quantfinance #financialengineering
@mar_antaya
1.0M
VA🎥 This girl explains how she’s going to accomplish her dream of becoming a billionaire by 30:
💼 “I’m spending the next 2 years in quant finance to build skills, understand the market, and stack capital. After that, I’ll launch my own business and scale it globally. That’s the plan — and I’m all in.” 🚀
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#BillionaireMindset #QuantFinance #FutureCEO #DreamBig #YoungAndAmbitious #LevelUp
@vaultvision.xo
209.8K
MIFollow me and comment “PAPERS” and I’ll send you the full list.
Most people think quant finance is just statistics and coding.
Regression models. Time series. Maybe some machine learning.
But when you go deeper… it gets weird.
I’m talking relativity inside option pricing.
Fractals and chaos theory modeling volatility.
Even biology affecting trading performance.
These are real papers. Published. Studied.
This is what quant actually looks like at the edge.
Comment “PAPERS” and I’ll send you all of them.
@mirkovicdev
122.2K
QUSome beginner book recommendations. These are a collection that covers a wide range of bases when it comes to introductory Quant Finance.
For deep dives into more Advanced Methods, check the link in my bio.
#quant #ai #quantfinance #datascience #investing
@quant_research_decoded
139.5K
MR1️⃣ Build Strong Math & Statistics Foundations
Quant finance is driven by numbers and probability.
Focus on probability, statistics, linear algebra, calculus, and optimization.
Example:
Understanding how volatility affects option prices requires solid statistics and calculus.
⸻
2️⃣ Learn Programming for Quant Finance (Mandatory)
Programming is the core tool of quant analysts.
Learn Python (for research & modeling) and C++ (for performance-critical systems).
Example:
Use Python to backtest a trading strategy; use C++ to build a high-speed pricing engine.
⸻
3️⃣ Master Quantitative Finance Concepts
Learn how markets are modeled mathematically.
Key areas: derivatives pricing, portfolio theory, risk modeling, time-series analysis.
Example:
Build a Black-Scholes option pricing model and analyze Greeks.
⸻
4️⃣ Build Real Quant Projects (Most Important)
Projects are your proof of skill.
Example Projects:
• Trading strategy backtesting system
• Volatility forecasting using GARCH
• Portfolio optimization model
• Risk & VaR engine
➡️ These projects are used in real quant roles.
⸻
5️⃣ Target the Right Entry Roles
Start with roles that match your skill level.
Common entry roles:
Quant Analyst, Risk Analyst, Financial Engineer, Trading Analyst.
Example:
Many quants start in risk or model validation teams before moving to trading desks.
⸻
6️⃣ Optimize Your Resume & Networking
Quant hiring is selective and referral-driven.
Example:
Showcase projects on GitHub, explain models clearly, and network with quants on LinkedIn.
⸻
7️⃣ Consider Relevant Certifications (Optional)
Certifications support — but don’t replace — skills.
Useful ones: FRM, CQF, advanced math/quant programs.
Example:
FRM strengthens risk modeling knowledge useful for quant risk roles.
🎯In Short:
Quant finance careers are built on math, code, and models — not shortcuts.
If you can build, test, and explain real quant systems, opportunities follow.
#mbafinance #quantfinance #financejobs #financestudents #explore
@mr_.analyst
696.3K
MIMost people skip the foundation books, and that’s why they get stuck.
Not every book here screams “quant finance”, but without the foundations like measure theory or variational calculus, you’ll stay lost when the advanced stuff hits.
That’s why I built a Quant Reading Roadmap → it mixes pure quant texts with the hidden math books you actually need.
👇 Want it?
Comment “QUANT” and I’ll send you the complete list with all books for free.
@mirkovicdev
36.7K
POI want to be a billionaire by 30.”
Not a flex. A blueprint.
She’s not just dreaming big — she’s reverse engineering it step by step.
Quant finance.
Investment banking.
Private equity.
Sustainable energy.
And her starting point?
$2,121.
It’s not about where you start.
It’s about how long you’re willing to stay in the game.
Follow @powrwealth for more real ambition in motion.
#wealthmindset #billionairevision #powermoves #financialfreedom #privateequity #ambitionovereverything #longgame
@powrwealth
47.1K
DEFollow & Comment “Quant” for resources
Day 37 |Most people say they want to get into Quant Finance.
Very few actually build the projects that quants are hired for.
If you’re serious about:
quantitative finance, algorithmic trading, financial engineering, data-driven investing, risk modeling, or buy-side roles —
projects matter more than certificates. Period.
In this reel, I’ve broken down top Quant Finance projects that:
• actually impress hedge funds
• signal real quantitative thinking
• show you understand markets, math, and data
• separate you from 99% “finance influencers”
These are the kinds of projects used by:
investment banks, hedge funds, prop trading firms, quant desks, risk teams, and fintech startups.
You’ll learn how to work on:
📌 factor-based investing
📌 quantitative portfolio construction
📌 statistical arbitrage logic
📌 volatility & risk modeling
📌 backtesting frameworks
📌 market microstructure concepts
📌 data-driven alpha generation
This is real quant work, not textbook theory.
If you’re a:
• CFA / FRM aspirant
• finance + coding beginner
• engineering student entering finance
• MBA student targeting front-office roles
• aspiring quant / trader / analyst
— this is exactly what you should be building right now.
I’ve also created a step-by-step project roadmap with:
✔ project ideas
✔ datasets
✔ structure
✔ what recruiters actually look for
👇
Comment “quant” and I’ll DM you the complete guide.
Save this.
Share it with someone who says “I want to be a quant”.
Follow for real finance, minus the nonsense.
#quantfinance #quantitativefinance #algorithmictrading #financemodeling #financialengineering
@deepthinksfinance
1.1M
PO“I want to be a billionaire by 30.”
Not a flex — a blueprint.
She isn’t just dreaming big.
She’s mapping every move:
Quant finance.
Investment banking.
Private equity.
Sustainable energy.
Her starting point? $2,121.
It’s proof that where you begin matters less than how long you’re willing to play the game.
👉 Follow @powrwealth for real ambition in motion.
#WealthMindset #BillionaireVision #PowerMoves #FinancialFreedom #PrivateEquity #AmbitionOverEverything #LongGame
@powrwealth
977.2K
MAProbability is the foundation of quant finance, turning uncertainty into measurable risk. Models like Black-Scholes use probability distributions to price options, assuming log-normal returns. Firms like Citadel run millions of Monte Carlo simulations daily, forecasting price paths. Value at Risk (VaR) quantifies loss probability — e.g., a 95% 1-day VaR of $10M means a 5% chance of losing more. In quant trading, every algorithm is built on probabilities — not guesses.
🌐 Link In bio.
Get Early Access to MacroGlide App — FREE market analytics tool for all market participants. Join before the public.
@macroglide
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