TL;DR

Data Scientist (Fintech): Build real-time pricing systems producing high-integrity reference prices across thousands of assets with an accent on financial market modeling, oracle data quality, and blockchain data analysis. Focus on designing detection logic for adversarial markets, leading data forensics, and reducing incident recurrence.

Location: Global remote with some overlap with Eastern Standard Time (EST)

Company

%hirify_global% is the industry-standard oracle platform powering decentralized finance and institutional tokenized assets with blockchain interoperability and data integrity.

What you will do

Build real-time pricing systems for thousands of assets.
Model complex, adversarial financial markets to identify risk origins.
Lead data forensics and incident analysis including pre/post-trade and benchmark comparisons.
Quantify user impact and implement fixes to reduce incident recurrence.

Requirements

Must have knowledge of DeFi primitives and on-chain/off-chain oracle price feeds.
Fluency in blockchain data including EVM logs, token standards, and indexing patterns.
Understanding of blockchain fundamentals affecting alerting and latency.
Awareness of market microstructure impacting benchmark construction and alerts.
Experience with Python, SQL, web3 libraries, and data processing tools.
Ability to analyze smart contracts and operate with RPC providers and indexing stacks.

Nice to have

Hands-on experience with Chainlink data products and oracle attack surfaces.
Experience designing anomaly detection and SLO-driven alerting with Prometheus, Alertmanager, Grafana, Flink.
Experience with on-call tools and incident response.

Culture & Benefits

Fully remote global roles with flexible working hours overlapping EST.
Equal opportunity employer with commitment to accessibility and accommodation.
Careful application review process with responses within two weeks after closing date.