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Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
October 8, 2025
Full Job Description
đź“‹ Description
- • Shape the future of finance by building the quantitative backbone that powers Blockchain.com’s next-generation crypto products. You will design, develop, and deploy statistical models and algorithmic trading strategies that handle billions in daily volume across spot, derivatives, and DeFi markets.
- • Own the full lifecycle of data-driven decision making—from ingesting terabytes of on-chain and off-chain data, through rigorous back-testing and simulation, to real-time production systems that execute with microsecond precision.
- • Partner directly with trading, product, and risk teams to translate complex business questions into mathematical problems. You will price exotic derivatives, optimize portfolio allocation, and create real-time risk dashboards that keep our users and our balance sheet safe.
- • Build and maintain ultra-low-latency C++/Rust services and high-throughput Python data pipelines that run on Kubernetes clusters distributed across multiple cloud regions and bare-metal colocation sites.
- • Pioneer novel research at the intersection of traditional quant finance and crypto-native phenomena such as MEV, cross-chain arbitrage, and perpetual funding-rate dynamics. Your findings will be published internally and, where appropriate, shared with the broader crypto research community.
- • Establish rigorous model governance: write unit tests that cover edge cases, design chaos experiments that simulate exchange outages, and create monitoring alerts that fire before PnL moves outside risk limits.
- • Mentor junior quants and data scientists through code reviews, pair programming, and weekly “quant guild” sessions where we dissect new papers and debate the merits of different volatility estimators.
- • Influence the strategic roadmap by quantifying the revenue impact of new asset listings, margin requirements, and fee structures. Your models will directly determine which markets we launch and how we compete globally.
- • Ensure regulatory compliance by embedding KYC/AML risk scoring into transaction flows and by building surveillance tools that detect wash trading and spoofing across centralized and decentralized venues.
- • Champion a culture of reproducible research: every notebook, back-test, and production service is version-controlled, containerized, and documented so that any team member can reproduce results from raw data to final trade.
- • Continuously optimize performance—whether that means rewriting a hot loop in SIMD-optimized C++, tuning Spark jobs to cut cluster costs by 30 %, or redesigning a Postgres schema to reduce query latency from seconds to milliseconds.
- • Collaborate with security engineers to implement threshold signature schemes and zero-knowledge proofs that protect user privacy while still enabling rich analytics.
- • Present findings to the executive team and board, translating complex quantitative insights into clear narratives that drive multi-million-dollar investment decisions.
🎯 Requirements
- • 3+ years of professional experience in quantitative research, algorithmic trading, or data science within finance, crypto, or a similarly demanding field.
- • Expert-level proficiency in Python (NumPy, pandas, scikit-learn) and at least one systems language (C++, Rust, or Java) for low-latency development.
- • Deep understanding of probability, statistics, stochastic calculus, and optimization techniques; ability to derive closed-form solutions and implement numerical methods when closed forms don’t exist.
- • Hands-on experience with large-scale data processing (Spark, Flink, or Kafka) and cloud-native infrastructure (Kubernetes, Docker, Terraform).
- • Nice-to-have: PhD or MS in a quantitative discipline, prior work with derivatives pricing models, or contributions to open-source crypto libraries.
🏖️ Benefits
- • Fully remote-first culture with quarterly team off-sites in destinations like Lisbon, Singapore, or Miami.
- • Competitive base salary plus performance-linked token bonus; historical payouts have ranged 50-100 % of base.
- • Annual learning stipend of $5,000 for conferences, courses, or certifications—many teammates have used it for CQF, Stanford crypto lectures, or Rust trainings.
- • Premium medical, dental, and vision coverage for you and dependents, plus a $1,000 annual wellness allowance that covers gym memberships, ergonomic gear, or meditation apps.
Skills & Technologies
About Blockchain (GB) Limited
Blockchain.com operates a global cryptocurrency wallet and exchange platform founded in 2011. The London-based company provides non-custodial wallets, brokerage, institutional trading, and data services for Bitcoin, Ethereum, and other digital assets. It serves over 80 million users worldwide, offering APIs, market data, and custody solutions. Revenue comes from trading fees, spread on brokerage sales, and subscription products. The firm has raised capital from investors including Lightspeed, GV, and Baillie Gifford while maintaining regulatory licenses across multiple jurisdictions.
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