You can get an entry level

@remoteree

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Selling · Other Product

Hudson River Trading Algo Developer position

Why it worked

The video taps into the aspirational desire for high-paying tech jobs by showcasing a seemingly accessible entry point into a lucrative field, while also providing a concrete, challenging project that demonstrates how to bridge the gap.

Summary

The video discusses an entry-level Algo Developer position at Hudson River Trading, highlighting its surprisingly low requirements and high compensation. It then details a complex project that candidates can undertake to build their skills and stand out in their application.

Structure

1Introduction to the Algo Developer role
2Discussion of low requirements and high compensation
3Explanation of the project's complexity and purpose
4Outline of the skills ladder and project steps
5Call to action to follow for more content

Product placement

Hudson River Trading (HRT): Acts - a company that hires Algo Developers. Its interface is visible on screen in a job posting and a project description. Removing it would change the context of the video. LinkedIn: Appears - a platform where the job posting is displayed. Removing it would not change the video's content.

Original caption

Hudson River Trading is paying top-of-band base for an Algo Developer. The requirements section is three lines. Brilliant analytical skills. Independence on long-term problems. 'Familiarity' with C++. That's it. No years-of-experience wall. A bachelor's in math, CS, stats, or physics. Here's what the job actually is. HRT runs one of the most sophisticated computing environments in trading. Algo Developers build the predictive models that drive it — rigorous statistics over vast market data, models running live on high-performance infrastructure, daily performance analysis to keep them profitable. The market insight: while everyone argues about whether AI ends engineering careers, quant firms quietly kept the most human bar in tech. HRT explicitly bans AI tools in interviews — and checks. They're paying for what's actually in your head: probability, statistics, and the discipline to debug a losing model before the open. The project to build: an Alpha Research Lab. Ingest real market data, engineer momentum and mean-reversion features, train predictive models with walk-forward validation — zero lookahead — then push them through a C++ execution simulator with realistic fees and slippage. Run it as live paper trading and produce daily P&L attribution: which signals paid, which decayed. That's the exact loop the job description describes. Walking in with a measured Sharpe and a model-decay story beats any line on a resume. #HudsonRiverTrading #QuantFinance #AlgorithmicTrading #CPlusPlus #TechJobs

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On-screen text

HRT Hudson River Trading Algo Developer New York, United States Promoted by hirer On-site Full-time Skills Profile ENTRY LEVEL ALGORITHM DEVELOPER POSITION AT HUDSON RIVER TRADING WITH NO BACKGROUND IN TRADING WHATSOEVER AND A FAMILIARITY WITH C++. WHAT KIND OF A POSITION AND YOU KNOW, I HAVE TO GIVE THIS DISCLAIMER. THEY SPOIL EVEN THEIR ENTRY LEVEL ENGINEER. SO MUCH SO THAT COME YOU'RE GOING TO BE SLEEPING ON A BED OF 100 DOLLAR BILLS. INTERVIEW BAR MAY BE SUPER COMPETITIVE, BUT THE REQUIREMENTS ARE Advanced 10 steps Hudson River Trading | Alpha Research Lab - Predictive Trading Models Mine market data for signals, train models with walk-forward validation, and grade them through a C++ execution simulator with daily P&L attribution. Hudson River Trading Python pandas scikit-learn C++ walk-forward validation Step overview (10) -12h 1 enrolled Jul 2026 Start building AND THIS IS A PROJECT THAT YOU CAN EVERYTHING ON THE CHECKLIST. INTERESTINGLY ENOUGH, THEY PREFER A BACKGROUND IN THE TRUER SCIENCES LIKE MATH AND PHYSICS IN ADDITION TO COMPUTER SCIENCE. LEAN REQUIREMENTS Rigorous statistical analysis over vast market + financial data Build and maintain predictive trading models Run models live; analyze daily performance to keep them profitable Research novel order-execution + model-training methods Familiarity with C++ (the only named language) Bachelor's in Math, CS, Stats, or Physics Work independently on long-term technical problems Analyze and fix problems quickly No AI tools in the hiring process - they check, and rescind offers JOB SIMPLER. EXPECT TO SEE IN YOUR IF YOU END UP APPLYING. BASICALLY, IF SOFTWARE ENGINEER WHO KNOWS C++ AND HAS DONE STATISTICAL ANALYSIS OVER LARGE DATA SETS, YOU ARE GOING TO FRONT OF THE QUEUE. SKILLS LADDER Foundational Core Advanced, with technologies FOUNDATIONAL Probability + Statistics Math/CS/Physics Fundamentals Programming fluency C++ Python + pandas NumPy CORE Statistical modeling on market data Signal research + order-execution debugging Walk-forward validation market data feeds ADVANCED Live model operation + daily P&L analysis Order-execution research Travel model training methods C++ execution simulator P&L attribution HRT Algo Developer THAT GUY, THIS IS THE SKILLS LADDER THAT I WOULD FOLLOW IN ORDER TO BECOME THAT SOMEBODY WHO'S READY FOR JOBS LIKE THIS. Project: Alpha Research Lab - Predictive Trading Model Pipeline Goal: Build the full quant research loop: mine market data for predictive signals, train models with walk-forward validation, grade them through a C++ execution simulator, then run live paper trading with daily performance attribution. Tech Stack: Python + (pandas/NumPy - statistical research and feature engineering over historical market data Scikit-learn - training the predictive models (linear + tiled baselines, rigorously validated) C++ - the backtest/execution simulator core, where the JD's one named language lives A free daily/intraday market data feed - the vast financial data the JD describes A C++ forward backtesting engine - evaluation with transaction costs, slippage, and zero lookahead Backtests predictions through a C++ execution simulator with fees, slippage, and latency Compares order-execution strategies (TWAP / VWAP / immediate) on the same signal Runs live paper trading using a C++ engine, simulating trades Produces daily performance attribution, which Sema's paid, which are decaying You end up running the same signal + model + execution + daily analysis cycle an HRT Algo Developer runs, with a measured Sharpe ratio and a documented model-decay story to defend in interviews. Why It Fits Hudson River Trading | Algo Developer: It mirrors the posting's described day line for line - statistical analysis of market data, predictive models, live operation with daily performance analysis, and order-execution research with C++ doing the performance-critical work. THIS IS THE PROJECT THAT I WOULD WORK STAND OUT IN MY APPLICATION. THIS PROJECT IS A BEAST BECAUSE IT FORCES YOU TO BUILD THE ENTIRE QUANTITATIVE RESEARCH LOOP. BE USING SIMULATED MARKET DATA TO TRAIN MODELS USING WALK FORWARD VALIDATION AND THEN YOU'RE GOING TO BE RUNNING SIMULATED TRADE EXECUTION USING A C PLUS PLUS ENGINE, WHICH YOU'RE GOING TO BE RUNNING BACK TESTS ON. NOBODY SAID THIS WAS GOING TO BE EASY, BUT THIS IS COMPLETE. AND IF YOU WANT TO SEE MORE PROJECTS FOLLOW ME FOR MORE CONTENT.

Transcript

You can get an entry level algorithm developer position at Hudson River Trading with no background in trading whatsoever and a familiarity with C++. And you know, I have to give this disclaimer. They spoil even their entry level engineer. So much so that come bonus season, you're going to be sleeping on a bed of 100 dollar bills. The interview bar may be super competitive, but the requirements are Advanced. 10 steps. Hudson River Trading | Alpha Research Lab - Predictive Trading Models. Mine market data for signals, train models with walk-forward validation, and grade them through a C++ execution simulator with daily P&L attribution. Hudson River Trading. Python, pandas, scikit-learn, C++. Walk-forward validation. Step overview (10). -12h. 1 enrolled. Jul 2026. Start building. And this is a project that you can everything on the checklist. Interestingly enough, they prefer a background in the truer sciences like math and physics in addition to computer science. Lean requirements. Rigorous statistical analysis over vast market + financial data. Build and maintain predictive trading models. Run models live; analyze daily performance to keep them profitable. Research novel order-execution + model-training methods. Familiarity with C++ (the only named language). Bachelor's in Math, CS, Stats, or Physics. Work independently on long-term technical problems. Analyze and fix problems quickly. No AI tools in the hiring process - they check, and rescind offers. Job simpler. Expect to see in your if you end up applying. Basically, if you're a software engineer who knows C++ and has done statistical analysis over large data sets, you are going to front of the queue. Skills ladder. Foundational. Core. Advanced, with technologies. Foundational. Probability + Statistics. Math/CS/Physics. Fundamentals. Programming fluency. C++ Python + pandas. NumPy. Core. Statistical modeling on market data. Signal research + order-execution debugging. Walk-forward validation. Market data feeds. Advanced. Live model operation + daily P&L analysis. Order-execution research. Travel model training methods. C++ execution simulator. P&L attribution. HRT Algo Developer. That guy. This is the skills ladder that I would follow in order to become that somebody who's ready for jobs like this. Project: Alpha Research Lab - Predictive Trading Model Pipeline. Goal: Build the full quant research loop: mine market data for predictive signals, train models with walk-forward validation, grade them through a C++ execution simulator, then run live paper trading with daily performance attribution. Tech Stack: Python + (pandas/NumPy - statistical research and feature engineering over historical market data. Scikit-learn - training the predictive models (linear + tiled baselines, rigorously validated). C++ - the backtest/execution simulator core, where the JD's one named language lives. A free daily/intraday market data feed - the vast financial data the JD describes. A C++ forward backtesting engine - evaluation with transaction costs, slippage, and zero lookahead. Backtests predictions through a C++ execution simulator with fees, slippage, and latency. Compares order-execution strategies (TWAP / VWAP / immediate) on the same signal. Runs live paper trading using a C++ engine, simulating trades. Produces daily performance attribution, which Sema's paid, which are decaying. You end up running the same signal + model + execution + daily analysis cycle an HRT Algo Developer runs, with a measured Sharpe ratio and a documented model-decay story to defend in interviews. Why It Fits Hudson River Trading | Algo Developer: It mirrors the posting's described day line for line - statistical analysis of market data, predictive models, live operation with daily performance analysis, and order-execution research with C++ doing the performance-critical work. This project is a beast because it forces you to build the entire quantitative research loop. Be using simulated market data to train models using walk forward validation. And then you're going to be running simulated trade execution using a C plus plus engine, which you're going to be running back tests on. Nobody said this was going to be easy, but this is complete. And if you want to see more projects, follow me for more content.