Conduct research, technical evaluation, ingestion, integration, cleansing, standardization, computation, storage, and servicing of financial market data, covering securities master data, real-time and historical market data, fundamentals, corporate actions, indices, and business-required product and risk data; responsible for source ingestion, raw retention, and stable delivery to knowledge engineering pipelines for content-type data such as announcements, news, and research reports.
Design scalable unified data models and integration frameworks, handling different markets' trading calendars, time zones, currencies, security identifiers, listing relationships, lifecycles, and data corrections, supporting rapid onboarding of new markets and sources.
Build batch-stream unified data pipelines centered on Flink, continuously optimizing latency, throughput, query performance, stability, and cost, while supporting consumer trading products, research analysis, and AI scenarios....
Terms of employment / engagement shall be subject to contract and local applicable laws
Participate in the discovery, construction, and validation of trading factors, exploring effective alpha signals from multi-source data including market data, fundamental data, and on-chain data.
Participate in the design and optimization of factor prediction models, applying machine learning and deep learning methods to enhance signal predictive power and stability....
Conduct one-on-one or group tutoring sessions focused on IB, A-Levels, GCSE Maths and Sciences, including subjects such as Physics, Chemistry, and Biology
Develop customized lesson plans tailored to each student’s learning style and academic needs
Assist students with understanding complex concepts, problem-solving techniques, and exam preparation strategies...
Conduct one-on-one or group tutoring sessions focused on IB, A-Levels, GCSE Maths and Sciences, including subjects such as Physics, Chemistry, and Biology
Develop customized lesson plans tailored to each student’s learning style and academic needs
Assist students with understanding complex concepts, problem-solving techniques, and exam preparation strategies...
Lead institutional capital-raising initiatives across equity, debt, private credit, structured finance, and other financing channels.
Develop and maintain relationships with banks, private-credit funds, institutional investors, family offices, sovereign investors, and strategic capital partners.
Coordinate equity and debt financing processes from initial outreach through closing....
Design end-to-end LLM evaluation plans for business scenarios such as dialogue and financial trading. Build evaluation metric systems and rubrics, transforming subjective model performance judgments into quantifiable, reproducible, and explainable evaluation conclusions.
Lead the design and construction of evaluation datasets. Define evaluation dimensions and scenario coverage, establish high-quality data annotation guidelines and quality control processes, and build benchmarks that authentically reflect business needs and have discriminative power.
Analyze model capability boundaries and failure modes based on evaluation results. Produce actionable improvement recommendations and collaborate with algorithm and product teams to drive model iteration, making evaluation a critical component of the R&D loop....
Factor Mining & Validation: Discover, construct, and validate trading factors from multi-source data including market data, fundamental data, and on-chain data. Continuously iterate the factor library to identify effective alpha signals.
Factor Prediction Modeling: Design and optimize prediction models using machine learning and deep learning methods to improve signal accuracy and stability while controlling overfitting and strategy decay.
Strategy Design & Backtesting: Lead the design, backtesting, and live deployment validation of trading strategies — covering signal generation, portfolio construction, risk control, and execution optimization. Take ownership of strategy P&L and risk performance....