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About us: VICI Holdings’ Quantitative team is seeking a Quantitative Researcher to integrate knowledge from statistics, information science, and finance to enhance our research capabilities. This role involves applying and learning diverse disciplines such as market microstructure, statistics, and machine learning. “Career Path”: As you achieve research milestones, there will be opportunities to pursue a career in high-frequency trader or quantitative trader, allowing you to develop automated tr

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data

Minimum qualifications: Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 4 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree. Preferred qualifications: Experience working in a professional services business, including technology industry. Experience generating insights/themes working with large and complex datasets and building models and dashboar

About us: VICI Holdings’ Quantitative team is seeking a Senior ETF Researcher who is proficiency in programming languages like Python, R, or C++ for ensuring workflow quality. “Career Path”: After achieving significant research results, you will have the opportunity to pursue a career in high-frequency or quantitative trading and develop automated trading strategies based on your interests. We boast the leading software development team in Taiwan and possess FPGA design technology in parallel wi

grnh.se/5b1c45a13us 【更多職缺】 欲查看更多 Kronos Research 職缺，請至 Kronos Job Board: https://boards.greenhouse.io/kronosresearch ** For more positions at Kronos Research, please check out our job board: https://boards.greenhouse.io/kronosresearch Job Description As a Quantitative Researcher at Kronos, you will work closely with other world-class talent on improving our advanced high-frequency trading a

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, a related quantitative field, or equivalent practical experience. 4 years of experience in the fields of Business Intelligence, Analytics, or Software Development. Experience in using SQL for extraction and transfor

Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience in a Data Analyst or Data Science role, analyzing data sets to solve business problems through statistical methods and predictive analytics. Preferred qualifications: Experience in data analysis for time series data, to solve business problems in fluid and ambiguous business environments with strong data intuition and business a

Minimum qualifications: Bachelor's degree Statistics, Economics, Mathematics, in a quantitative discipline, or equivalent practical experience. 5 years of experience in the Industry in a Data Analyst or Data Science role, analyzing data sets to solve business problems through statistical methods and predictive analytics. Preferred qualifications: Experience in data analysis, especially for time series data, to solve business problems in complex, fast-moving, and ambiguous business environments w

主要工作內容： - 研究DeFi市場、協議、策略並管理大型投資組合 - 深入研究CeFi和DeFi市場以及區塊鏈數據 - 設計並將算法交易策略部署到生產環境 - 擴展自動化交易業務至新的交易產品和場所，校準並調

[About Us] Quantrend Technology focuses on building financial trading strategies across a variety of asset classes and global markets. We empower the paradigm shift from traditional quant to AI quant by using modern end-to-end deep learning models. The difference between traditional approaches and our proprietary solution is that our models can automatically extract robust and high-quality trading signals (Alphas), but traditional hand-crafted approaches often fail to do so. We are a performance