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Chainlink Labs

Senior Manager, Quantitative Market Data

Posted 10 Days Ago
Be an Early Applicant
In-Office or Remote
11 Locations
Senior level
In-Office or Remote
11 Locations
Senior level
Lead the Market Data Quality & Benchmarks organization, overseeing data quality, pricing methodologies, and operational excellence in market-data products.
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About Us 

Chainlink Labs is one of the primary contributing developers of Chainlink, the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance. The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, Decentralized Finance (DeFi), payments, stablecoins, and more. Many of the world’s largest financial services institutions have also adopted Chainlink’s standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, ANZ, Aave, GMX, Lido, and many others.

Chainlink Labs is a world-class team of over 600 developers, researchers, and capital markets experts, and has ranked among Fortune's Best Workplaces in Technology, Fortune's Best Medium Workplace, and the Top 100 Global Most Loved Workplaces. Learn more at chain.link or chainlinklabs.com.

About the Team

This team sits at the heart of Chainlink’s Data business, ensuring every price our network delivers is accurate, reliable, and timely. The group focuses on:

  • Quantitative researchers & engineers who design and back-test benchmarks and pricing methodologies

  • Data quality engineers/managers who build normalization, validation, and anomaly-detection pipelines with clear SLOs

  • Risk Operations analysts who monitor real-time data quality and drive incident response

The team partners closely with Product, Engineering, and Node Operators to deliver best-in-class data products across hundreds of on-chain markets.

About the Role

We are searching for an experienced Senior Manager to lead the Market Data Quality & Benchmarks organization. You will own the production data quality, benchmarking standards, and cost/performance profile of Chainlink’s market-data products. You will be defining strategy, shipping microstructure-aware pricing methodologies, and scaling operational excellence across crypto, FX, and RWA markets on chain. This role blends financial engineering, quantitative research, real-time data-risk management, and hands-on leadership of engineering-heavy workflows.

Your Impact

  • Define data-quality & benchmark strategy: set vision, KPIs, and roadmaps for price feeds and streams, including explicit data-quality SLOs (latency, coverage, staleness, accuracy).

  • Champion benchmark & pricing research: guide quants in designing, stress-testing, and deploying benchmarks (e.g., VWAP/TWAP/mid, NBBO proxies, dislocation detectors) and pricing methodologies for multiple asset classes.

  • Own real-time data risk: establish risk tolerances, oversee 24/7 monitoring infrastructure; drive playbooks for crossed/locked markets, stale ticks, and cross-venue reconciliation for the largest value-securing oracle network in blockchain.

  • Optimize cost/performance: design efficient ingestion/normalization architectures and provider configurations; reduce compute/network/storage spend while expanding coverage (partner with Procurement/BD where needed).

  • Scale high-performing teams: recruit, coach, and develop quants, data-quality engineers/managers, and Data Scientists; foster a culture of experimentation, accountability, and continuous improvement.

  • Drive cross-functional alignment: partner with Engineering, Product, Finance, and Legal to launch new data products and embed data-contract rigor and risk-aware practices company-wide.

  • Represent Chainlink externally: engage with leading exchanges, data vendors, and DeFi protocols to advance industry standards for on-chain market-data quality and benchmarking.

Requirements

  • 10+ years in financial engineering, quantitative research, or market-data product leadership, with ≥4 years managing multi-disciplinary teams.

  • Deep knowledge of market-data infrastructure, market microstructure, asset-pricing/benchmark design, and real-time trading data across traditional and crypto markets.

  • Proven track record shipping production-grade pricing, benchmarking, or data-risk systems used in live trading, clearing, or DeFi.

  • Expert-level proficiency in Python (or similar), SQL, and statistical analysis; comfortable diving into code, benchmark logic, and model reviews.

  • Demonstrated success partnering with Tier-1 data vendors/exchanges on technical integrations; ability to influence commercial decisions with data.

  • Strong operational rigor—experience running 24/7 or follow-the-sun data-risk or trading-ops programs with clear SLOs and incident management.

  • Excellent communication and stakeholder-management skills; able to translate quantitative insights and SLO trade-offs into clear decisions for executives, engineers, and external partners.

  • Passion for blockchain, DeFi, and verifiable computation.

Preferred Requirements

  • Experience leading teams that span quantitative research, data-quality engineering, and trade-ops/risk under one roof.

  • Familiarity with node-operator ecosystems, oracle design patterns, or Web3 infrastructure primitives.
    Prior ownership of data-quality SLOs, error budgets, and cost/performance levers for market-data systems; experience informing procurement with utilization/coverage data.

  • Publications or open-source contributions in market microstructure, pricing/benchmarks, or data-quality/reliability tooling.

  • Experience scaling remote-first organizations and instituting data-contract governance (schemas, versioning, deprecation) across multiple teams.

Nice to have technical depth

  • Exchange feed formats & recovery sequence/dup handling, and event-time processing.

  • Time synchronization & timestamping and cross-venue consolidation to avoid false dislocations.

  • Stream processing & storage (e.g., Kafka, Flink/Spark Structured Streaming, Arrow/Parquet, time-series databases).

All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST).

We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date.

Commitment to Equal Opportunity

Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form.

Global Data Privacy Notice for Job Candidates and Applicants

Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit is subject to our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.

Top Skills

Arrow
Flink
Kafka
Parquet
Python
Spark Structured Streaming
SQL

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