آلومینیوم دیتاست | Aluminium Dataset

کامپیوتر، فناوری اطلاعات و اینترنت ۲ - ۱۰ نفر aldataset.com

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استخدام طراح الگوریتم‌های معاملاتی

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تحقیق بازار و تحلیل اقتصادی
موقعیت مکانی

تهران ، تهران
نوع همکاری

تمام وقت
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مهم نیست
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توافقی

شرح موقعیت شغلی

The Senior Algorithmic Trading Designer at ALDataset spearheads the development of sophisticated, AI-driven trading algorithms tailored for high-volatility markets including cryptocurrencies, gold commodities, and equity stock exchanges. Leveraging cutting-edge machine learning, quantitative modeling, and real-time data analytics, you will architect adaptive strategies that optimize risk-adjusted returns, exploit market inefficiencies, and navigate regulatory landscapes in a fast-paced, 24/7 trading environment. This role integrates deeply with our AI research teams, Data Engineers, Quantitative Analysts, and Risk Management specialists to transform raw market signals into executable, profitable trading systems powered by ALDataset's proprietary datasets and ML frameworks.

You will focus on multi-asset class strategies, incorporating predictive modeling for crypto volatility (e.g., BTC/ETH derivatives), gold price forecasting amid geopolitical factors, and stock market arbitrage across global indices (e.g., S&P 500, NASDAQ). Emphasizing ethical AI practices, backtesting rigor, and live deployment resilience, your work will drive ALDataset's leadership in fintech innovation, enabling automated trading bots, high-frequency execution, and portfolio optimization tools.

Key Responsibilities:

Algorithm Architecture and Development: Design, prototype, and refine end-to-end algorithmic trading strategies using ML techniques such as reinforcement learning (e.g., DQN, PPO), time-series forecasting (LSTM/Transformer models), and anomaly detection to capitalize on crypto pumps/dumps, gold hedging opportunities, and stock momentum trades.
Market Data Integration and Feature Engineering: Aggregate and preprocess multi-source data feeds (e.g., crypto APIs like Binance/Coingecko, gold futures from COMEX, stock tickers via Alpha Vantage/Yahoo Finance) to engineer features like volatility indices (VIX analogs for crypto), sentiment scores from NLP on news/social data, and macroeconomic indicators for cross-market correlations.
Backtesting and Simulation: Conduct rigorous historical simulations using vectorized backtesters (e.g., Backtrader, Zipline) to evaluate strategy performance under various regimes (bull/bear markets, flash crashes), incorporating slippage, transaction costs, and liquidity constraints specific to crypto (e.g., slippage in low-liquidity altcoins), gold (physical vs. paper), and equities (market hours vs. after-hours).
Collaboration and Knowledge Sharing: Partner with AI/ML teams to leverage proprietary datasets for training custom models; mentor junior quants; present strategy insights, performance reports, and ROI analyses to stakeholders using tools like Jupyter Notebooks and Tableau.
Regulatory Compliance and Ethics: Ensure algorithms adhere to financial regulations (e.g., SEC for stocks, CFTC for commodities/crypto); incorporate fairness checks to mitigate biases in trading signals and promote sustainable practices in volatile markets.
Research and Experimentation: Stay ahead of market trends by prototyping emerging techniques like quantum-inspired optimization for portfolio allocation or federated learning for privacy-preserving crypto data aggregation; run A/B tests on strategy variants and publish internal whitepapers.

Qualifications & Requirements:

Professional Experience: 2+ years in algorithmic trading, quantitative finance, or fintech development, with proven expertise in crypto (e.g., DeFi protocols, NFT markets), gold/commodities trading, and equity strategies; experience at hedge funds, prop trading firms, or AI-driven exchanges preferred.
Technical Proficiency: Mastery of programming languages like Python (with libraries: Pandas, NumPy, SciPy, TA-Lib, TensorFlow/PyTorch); familiarity with C++ for high-frequency trading (HFT) latency optimization; hands-on with databases (SQL/NoSQL for tick data storage) and cloud platforms (AWS/GCP for scalable backtesting).
Soft Skills: Strong problem-solving in uncertain environments; excellent communication for explaining complex models to non-technical teams; ability to thrive in agile, high-stakes settings with 24/7 on-call potential.
Preferred Qualifications:
- Certifications like CFA, FRM, or CAIA.
- Experience with DeFi tools (e.g., Uniswap APIs, Chainlink oracles) or blockchain development (Solidity).
- Publications or contributions to open-source quant libraries (e.g., on GitHub).
- Familiarity with emerging tech like AI agents for autonomous trading or zero-knowledge proofs for privacy in crypto strategies.

Join ALDataset to pioneer AI-powered trading algorithms that redefine efficiency in crypto, gold, and stock markets. If you're passionate about turning data into alpha in the most dynamic financial arenas—apply today!

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آلومینیوم دیتاست سعی می‌کند دیتاست‌های مختلف و متنوع در انواع زمینه‌ها را در اختیار علاقه‌مندان به هوش مصنوعی و صاحبین کسب‌وکار قرار دهد. همچنین در فاز دوم و فاز اصلی، تحلیل‌های مبتنی بر داده های واقعی را ارائه می‌کند تحلیل شبکه‎های اجتماعی و سنجش عواطف از اهداف اصلی آلومینیوم دیتاست است.