Website Quant Singularity

Founding Infrastructure Intern (Data Engine) | Singularity

Singularity is an elite Quantitative Trading firm operating in the high-stakes Indian derivatives market (NSE). This is a Founding Infrastructure role, meaning you aren’t just an intern; you are the architect of “v1.” You are building the bedrock that supports every trade the firm makes.

In the world of Quant, “Data is Alpha.” If your infrastructure has a 1-millisecond lag or a single “bad tick,” the firm loses money. This role is for those who thrive on high pressure and the pursuit of 100% technical reliability.

 

🟢 Role Overview & Impact

You are building the Data Engine from scratch. This isn’t maintenance; it is a full-scale design-and-build project.

  • V1 Infrastructure: Design the real-time ingestion pipelines for market data, alternative data, and broker feeds using Kafka or Redis.

  • Time-Series mastery: Build a warehouse optimised for fast backtest reads using databases like QuestDB, TimescaleDB, or KDB+.

  • NSE Deep Dive: Engineer data coverage for complex NSE option chains, including IV surfaces, Greeks, and futures rollovers.

  • Access Layer: Develop the core APIs (get_price(), get_signals()) that the strategy and ML teams will rely on for live trading.

  • Performance Engineering: Use Python for logic and Rust/C++ for performance-critical, low-latency components.

📊 Compensation & Internship Details (2026)

Singularity is a top-tier quantitative player, and its compensation reflects the high barrier to entry:

Metric Details
Average Monthly Stipend ₹1.5 Lakhs – ₹3.5 Lakhs per month
Reported Total Package ~$40,000 (Approx. ₹33 Lakhs annualised for high-performing interns).
Duration : Full-time Paid Internship.
PPO Potential Extremely high; founding roles are designed to transition into core leadership.
Tier-1 Preference Roles are primarily targeted at IITs, BITS, and NITs; others require 1+ years of heavy infra experience.

🎯 Candidate Profile

  • The Builder: You hate maintaining old code; you want to define the schema, the SLA, and the architecture yourself.

  • The Expert: You understand Indian market structures (lot sizes, expiry cycles, FII/DII data) and have hands-on experience with low-latency data feeds.

  • The Coder: Expert in Python with the ability to drop into Rust or C++ when milliseconds matter.

  • The Mindset: You think in “failure modes.” You assume the data is wrong until your validation pipeline proves it’s right.

Upload your CV/resume or any other relevant file. Max. file size: 2 GB.