Engineers, Not Bankers
We do not care where you went to school. We care about the efficiency of your code and the sharpness of your math
At Karanwal Capital, we operate with the agility of a tech startup and the discipline of a hedge fund. We are building a high-performance team to solve the hardest problems in financial markets.
There are no politics here. There is only Alpha. If your model generates returns, you get paid. If your code reduces latency, you get promoted.
Target Profiles
We are always hiring for these core archetypes. If you fit the description, do not wait for a job posting.
Quantitative Researcher
You live in Python and think in probabilities. Your job is to find signal in the noise. You will backtest strategies on terabytes of data and fight against overfitting.
Low-Latency Engineer
You obsess over CPU cycles and memory management. You will build the Rust/C++ execution pathways that allow us to trade faster than the competition.
Data & Operations
You ensure the machine never stops. You manage our Linux infrastructure, clean incoming data feeds, and monitor risk parameters in real-time.
The Selection Protocol
👨💻
Code Submission
Don't send a cover letter. Send your GitHub. We audit your code for efficiency and logic.
🖥️
Technical Screen
A 45-minute deep dive into system design and complexity. No whiteboards, just engineering trade-offs.
💸
Paid Work Trial
We collaborate on a real problem. You get paid to prove you can ship production-ready code.
🚀
Deployment
Offer extended. You gain commit access and start deploying strategies on Day 1.
✽ The Edge
Why Engineers Choose Us
Zero Legacy Code
We don't maintain 10-year-old banking Java. We build new systems in Rust and Python. You spend 90% of your time building, not fixing.
PnL-Based Bonuses
We don't do 'discretionary' bonuses. If your strategy generates Alpha, you get a direct cut of the profits. The math is simple
Unrestricted Compute
We do not ask for permission to spin up clusters. Every engineer gets a Threadripper workstation and unlimited AWS budget
Core Execution
Rust and C++ for low-latency order routing. We bypass standard brokers to interact directly with exchange gateways
Quant Research
Python-based ecosystem (Pandas, PyTorch, VectorBT). We use distributed computing to backtest strategies on TBs of tick data.
Cloud & Metal
Hybrid infrastructure. AWS for data storage, but bare-metal Linux servers (colocated) for execution critical paths.
Data Pipelines
Proprietary ingestion engines for real-time market depth (L2/L3), alternative datasets, and sentiment analysis feeds
Don't Send a Cover Letter. Send Code.
We value GitHub commits over GPAs. If you have built something complex, we want to see it.
To initiate an interview, email your resume and a link to your best project (GitHub/GitLab) directly to our engineering team.
Subject Line: [Role Name] - [Your Name] Email: careers@karanwalcapital.com