Binance Accelerator Program - Quantitative Trading Strategy Algorithm

Binance
Hong Kong, Taipei, Sydney
Workplace: RemoteInternshipFunction: Capital Markets, Trading & QuantEducation: mastersSkills: ["Learning ability","Research enthusiasm","Initiative","Self-driven","Ability to iterate fast"]

Build an AI-driven quantitative trading strategy research workflow as part of the Binance Accelerator Program internship. You’ll develop and validate trading factors and alpha signals from market, fundamental, and on-chain data; design factor prediction models using machine/deep learning; and support strategy backtesting, signal generation, portfolio construction, and risk control. Work with a pipeline that streamlines R&D from data to factors, models, and backtesting.

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FursaFursa
Binance
Binance
1 day ago

Binance Accelerator Program - Quantitative Trading Strategy Algorithm

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Last checked: 5 hours agoStatus: Live

Job Summary

Build an AI-driven quantitative trading strategy research workflow as part of the Binance Accelerator Program internship. You’ll develop and validate trading factors and alpha signals from market, fundamental, and on-chain data; design factor prediction models using machine/deep learning; and support strategy backtesting, signal generation, portfolio construction, and risk control. Work with a pipeline that streamlines R&D from data to factors, models, and backtesting.
Location: Hong Kong, Taipei, Sydney
Workplace: Remote
Employment Type: Internship
Job Function: Capital Markets, Trading & Quant
Seniority: Intern level

Key Responsibilities

  • •Participate in the discovery, construction, and validation of trading factors from multi-source data (market, fundamental, and on-chain).
  • •Design and optimize factor prediction models using machine learning and deep learning to improve signal stability and predictive power.
  • •Support the design, backtesting, and validation of trading strategies, including signal generation, portfolio construction, and risk control research.
  • •Build and help streamline a quantitative trading strategy pipeline to connect data, factors, models, and backtesting.
  • •Conduct exploratory research on frontier quantitative/AI trading methods combining traditional equities and on-chain market characteristics.

Key Requirements

  • •Current university student (Master’s or PhD) in Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related field.
  • •Strong quantitative foundation and programming skills with stable weekly internship availability.
  • •Strong interest in quantitative trading strategies, including factor mining and strategy backtesting workflows.
  • •Proficient in Python and knowledgeable about ML/DL methods for quantitative scenarios, including handling financial time-series data.
  • •Experience or understanding of trading mechanisms and data characteristics in at least one market (equities, futures, traditional finance, or crypto/on-chain).
Experience:Quantitative tradingFinancial marketsOn-chainDeFiMachine learning
Education:Master's in Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related field
Skills:Learning abilityResearch enthusiasmInitiativeSelf-drivenAbility to iterate fast
Tech Stack:PythonMachine learningDeep learningReinforcement learningFactor miningStrategy backtestingKaggleOn-chain data

Company Brief

Binance
Operates one of the world’s largest cryptocurrency exchanges, offering spot and derivatives trading, a native token (BNB), wallet services, staking, and a broad suite of crypto financial products and infrastructure.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Unicorn (USD 1B+)
Funding: Bootstrapped
Headquarters: George Town, Cayman Islands
Founded: 2017
WebsiteLinkedIn