--- title: 'Finance AI Data Scientist at Binance' canonical: 'https://feeny.ai/job/finance-ai-data-scientist-binance-asia-jetrbcfdd7zf' type: 'job' last_seen: '2026-09-08' --- # Finance AI Data Scientist at Binance - **Company:** Binance - **Location:** Asia - **Work type:** hybrid - **Posted:** 2026-09-07 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/binance/3c553d93-1746-4e78-b6eb-b82bff5cc801 ## Job description Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. ## Responsibilities - Identify high-value financial data algorithm problems that are worth building in-house, and evaluate the effectiveness, cost, and long-term maintainability of different approaches, including external data sources, rule-based processing, traditional models, and large language model solutions. - Design, train, evaluate, and optimize financial data and knowledge algorithms in production, covering areas such as user query understanding, document understanding, information extraction, entity recognition and linking, event detection, timeliness assessment, classification and tagging, deduplication and consolidation, and quality scoring. - Develop multi-channel retrieval, relevance modeling, and financial ranking algorithms that dynamically balance relevance, timeliness, source authority, popularity, content quality, and other domain-specific financial signals based on user queries. - Build training datasets, labeling systems, and evaluation benchmarks for market data, fundamentals, earnings reports, announcements, news, research reports, and licensed investment research data, while addressing sample bias, label noise, source conflicts, and market changes. - Select and optimize the appropriate methods for each task, including large language models, NLP models, multimodal models, graph algorithms, traditional machine learning, or rule-based approaches, balancing accuracy, recall, explainability, timeliness, and cost. Collaborate with Financial AI Engineers to integrate algorithms into a unified knowledge processing and retrieval pipeline and deploy them reliably into production. - Apply supervised fine-tuning, reinforcement learning, preference optimization, active learning, or semi-supervised learning, leveraging expert feedback and production data to continuously improve data processing models and financial data agents. - Establish both offline and online evaluation frameworks to measure accuracy, recall, ranking quality, timeliness, irrelevant information ratio, coverage, consistency, and cross-market generalization. Evaluate the authority relationship between tool usage and retrieval-augmented generation, ensure that historical evidence does not override updated facts, and attribute errors across data, retrieval, ranking, and model layers. ## Requirements - Experience in financial data, brokerage, trading platforms, research institutions, wealth management, or fintech-related algorithm development. - Experience in extracting, linking, event detection, or quality evaluation for financial content such as earnings reports, announcements, research reports, and news. - Experience in financial large model post-training, reinforcement learning, knowledge graphs, multimodal document understanding, or data agent optimization. - Experience with active learning, weak supervision, human feedback loops, or large-scale data labeling and evaluation systems. - Experience in cross-market or cross-language model transfer, or in conducting independent evaluation and calibration for different markets. ## Why Binance - Shape the future with the world’s leading blockchain ecosystem - Collaborate with world-class talent in a user-centric global organization with a flat structure - Tackle unique, fast-paced projects with autonomy in an innovative environment - Thrive in a results-driven workplace with opportunities for career growth and continuous learning - Competitive salary and company benefits - Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. ## About Binance ## Company Overview - **One-liner**: Binance is the world’s leading blockchain ecosystem and cryptocurrency infrastructure provider, operating the largest digital asset exchange by volume. - **Entity Type**: Private (Venture-backed; Series A, ICO, and later venture rounds) - **Headquarters**: United States (with global offices in Cayman Islands, Lithuania, and over 100 locations worldwide) - **Founded**: 2017 - **Founders**: Changpeng Zhao (CZ) ## Core Business - **Primary industry/industries**: Cryptocurrency exchange, blockchain infrastructure, decentralized finance (DeFi), digital asset trading and custody. - **Target customers**: B2C (retail traders and investors), B2B (institutional clients, market makers, and partners), and developers (via blockchain APIs and SDKs). - **Mission or purpose statement**: “Increase the freedom of money” by accelerating the adoption of crypto assets, blockchain, and distributed ledger technology. ## Products & Services - **Binance Exchange**: The flagship centralized cryptocurrency trading platform supporting spot, margin, futures, options, and staking. (Type: Trading platform) - **Binance Chain / BNB Smart Chain**: High-performance blockchain for decentralized applications (dApps) and DeFi protocols, with BNB as the native token. (Type: Blockchain infrastructure) - **Binance Wallet**: Self-custody wallet for managing crypto assets, interacting with dApps, and accessing DeFi. (Type: Software wallet) - **Binance Labs**: Venture capital arm investing in early-stage blockchain and crypto projects. (Type: VC/Incubation) - **Binance Academy**: Free educational platform covering blockchain, crypto trading, and Web3 topics. (Type: Education) - **Binance Research**: In-depth market analysis and reports on the crypto industry. (Type: Research) - **Binance Pay & Binance Card**: Fiat on/off ramp and payment solutions for merchants and users. (Type: Payment services) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Annual Revenue of ~$20B (LinkedIn estimate as of 2025) and Total Funding of $2.025B (including $10M Series A in 2017, $15M ICO in 2017, and a $2B venture round in March 2025). - **Notable Investors/Partners**: Over 5 investors in Series A; the $2B venture round (2025) had one lead investor (name not disclosed). Partners include CoinMarketCap (acquired), WazirX (acquired), and various blockchain projects. - **Growth Signals**: Headcount grew 24.5% YoY to ~4,845 employees; serves over 200 million users worldwide; active job postings up 44.2% year-over-year (907 open roles as of mid-2026). Expanded into DeFi, AI, and crypto infrastructure. ## Competitive Advantages - **Scale & Liquidity**: The world’s largest crypto exchange by trading volume, offering deep liquidity across hundreds of pairs. - **Product Ecosystem**: A comprehensive suite of products (exchange, blockchain, wallet, research, education, venture) creates strong network effects and user stickiness. - **Global Reach**: Operations in over 100 countries with a diverse, multilingual workforce (110+ nationalities), enabling localized compliance and user support. - **Speed of Innovation**: Flat organizational structure and a “results-driven” culture allow rapid iteration and launch of new features (e.g., DeFi, AI integrations). ## Strategic Focus - **Decentralized Finance (DeFi)**: Building and supporting DeFi protocols on BNB Smart Chain and other chains. - **Artificial Intelligence**: Integrating AI into risk operations, backend engineering, and product personalization (e.g., Risk Operations AI Specialist, Backend Engineer + LLM roles). - **Infrastructure & Compliance**: Scaling fiat on/off ramps, regulatory compliance, and institutional-grade custody solutions. - **Talent Development**: Expanding the Binance Seeds program (Pioneer Talent & Accelerator) to nurture early-career crypto talent. ## Why Work Here - **Culture**: Flat hierarchy, fast-paced, outcome-focused environment where “your voice matters” and ideas drive action. - **Remote & Flexibility**: Many roles are fully remote with flexible working hours; option to be paid in crypto. - **Benefits**: Competitive salary, health insurance, company-sponsored holidays, team-building activities, free language classes, and relocation support. - **Learning & Growth**: Tailored training, 1:1 mentorship, and access to a global network of experts through Binance Seeds; internal mobility across teams and international transfers. - **Diversity**: 110+ nationalities represented; distributed across 138 countries with a strong remote-first ethos. ## Sources 1. [jobs.lever.co/binance](https://jobs.lever.co/binance) 2. [binance.com/en-BH/careers/](https://www.binance.com/en-BH/careers/) 3. [linkedin.com/company/binance](https://www.linkedin.com/company/binance) 4. [binance.com/en](https://www.binance.com/en) 5. 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