Мы используем технические cookie и статистику посещений: Яндекс Метрику и собственный обезличенный журнал Zorky (cookie zk_aid). Не собираем содержимое форм, текст поиска и полный IP; данные не продаём. Отказаться можно кнопкой ниже, а также через Global Privacy Control или Do Not Track в браузере. Подробнее о cookie и статистике.
Zorky CRMZorky CRM
EN|RU
@termdocs
← Все вакансии

HFT Quant Trader

hybrid4,000 SGD · период не указанSingapore, SGСкор 67.5/1001д назад
Стек
DevelopmentStatistical ArbitrageBacktestingOrganization DesignFundingMarket MakingImplement Trading StrategyAsset TradingPortfolio ManagementLow LatencyTrading ManagementTrading
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
Job Description Industry/ Organization Type: Financial Services Position Title: HFT Quant Trader Working Location: Raffles Place (Hybrid) Working Hours: 5 days (Mon-Fri: 9.00am - 5.00pm) Salary Package: Basic salary up to $5,000 + Commissions + Variable Bonus Duration: Permanent Role Key Responsibilities Research, develop, backtest, and deploy quantitative trading strategies. Develop strategies across areas such as Market Making, Cross-Exchange Arbitrage, Spot-Perpetual / Spot-Futures Arbitrage, Statistical Arbitrage, Relative-Value Trading, Short-Term Alpha Strategies and Tokenised Asset Market Making. Analyse market data, including order books, trades, funding, and position data, to identify trading opportunities. Build and improve backtesting and simulation models considering transaction costs, market impact, latency, and execution factors. Work with developers and infrastructure teams to implement trading strategies into production systems. Optimise execution logic, risk controls, position sizing, and portfolio performance. Monitor live trading strategies and improve profitability, scalability, and reliability. Develop risk management frameworks, including position limits and exposure controls. Stay updated on quantitative trading, market structure, DeFi, tokenised assets, and trading technologies. APPLY NOW!!! Bachelor’s degree or higher in Mathematics, Statistics, Physics, Computer Science, Engineering, Financial Engineering, Economics, or related quantitative fields. M
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs