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Pillar

AI-driven automated risk hedging platform

Quantitative Software Engineer Lead

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Deep understanding of data structures, algorithms, design patterns, and core systems fundamentals.
  • Extensive experience architecting and building complex financial systems, with a focus on building and scaling low-latency, event-driven distributed systems.
  • Strong ownership and teamwork, with the ability to work collaboratively to unblock work, drive momentum, and ensure important work is completed.
  • Ability to navigate ambiguity, learn quickly, and independently figure things out in fast-moving environments.
  • Problem-solving skills and the ability to break down and tackle complex tasks.
  • At least 4 years of experience.

Responsibilities

  • Lead development of the trading system as the company scales into new markets and onboards new customers.
  • Build and optimize low-latency distributed systems to minimize risk and achieve optimal prices on fills.
  • Shape the engineering culture, hire and mentor engineers, and collaborate directly with the founders to solve challenging financial technology problems.
  • Own critical infrastructure end-to-end, from market data ingestion to order execution and risk monitoring, supporting clients' businesses around the clock.

Desired Qualifications

  • Familiarity with Golang, Python, C++, gRPC, PostgreSQL, Kafka, and AWS.
  • Experience building trading systems.
  • Domain experience with derivatives, crypto, equities, or other financial products.

About the Company

Pillar

AI-driven automated risk hedging platform

Pillar provides a unified risk management platform for businesses exposed to volatility in currency, commodity, and freight markets. It uses AI to ingest data from multiple sources—contracts, cash flows, ERP systems, and even WhatsApp—and continuously assesses exposure, then builds and manages hedge portfolios that adjust in real time to market conditions and risk tolerances. It differentiates itself by integrating diverse data streams and offering precise hedges tied to exact transaction quantities with automatic adjustments, all under a registered Commodity Trading Advisor (CTA) and National Futures Association member. Its goal is to replace manual, fragmented hedging with automated, data-driven risk management that operates continuously for commodity-driven producers and manufacturers.

Company size
11-50
Company stage
Seed
Total funding
$20M
Headquarters
New York City, United States
Founded
2023

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