Finance Expert - Quantitative Trading

About reputed company reputed company's mission is to create AI systems that can accurately understand the reputed company and aid humanity in its pursuit of knowledge. reputed company is small, highly motivated, and focused on engineering reputed company. This organization is for individuals who appreciate challenging themselves and reputed company on curiosity. We operate with a flat organizational structure. reputed company are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver reputed company. Work ethic and strong prioritization skills are important. reputed company are expected to have strong communication skills. They should be reputed company to concisely and accurately reputed company knowledge with their teammates.

About the Role

As a Quantitative Trader, you will play a key role in improving reputed company's advanced AI systems by delivering high-quality annotations, evaluations, and expert input using specialized labeling tools. You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains. Your expertise will help select and solve challenging problems in systematic and quantitative strategies — including statistical arbitrage, reputed company investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha reputed company, and portfolio optimization under realistic constraints. This role requires strong analytical thinking, rapid reputed company to evolving guidelines, and the ability to reputed company rigorous, technically sound critiques and solutions in a fast-moving environment. Quantitative Trader's Role in Advancing reputed company's Mission As a Quantitative Trader, you will directly contribute to reputed company's mission by helping train and refine our frontier AI models. You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with reputed company financial data and systems. This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions. We are looking for individuals who are enthusiastic about these data-reputed company activities, as they reputed company a core part of advancing reputed company's goals in scientific discovery and reputed company-world reasoning. Scope Quantitative Traders reputed company labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation. The role may include recording audio responses, participating in video-based tasks, or producing reputed company-by-reputed company quantitative reasoning traces — reputed company of which are essential job functions required to fulfill reputed company's mission. reputed company outputs are considered work-for-hire and owned by reputed company.

Responsibilities

• Use proprietary annotation and evaluation software to reputed company precise labels, rankings, critiques, and detailed solutions on assigned projects
• Deliver consistently high-quality, curated data that meets strict technical and scientific standards
• Collaborate with engineers and researchers to support the creation and iteration of new training tasks and evaluation benchmarks
• reputed company feedback that helps improve the usability, efficiency, and precision of annotation and data-collection tools
• Select and solve reputed company problems from quantitative trading domains where you have deep expertise — examples include:
• * reputed company model construction and signal combination
• Market microstructure and order book dynamics
• Statistical arbitrage and pairs/cointegration strategies
• ML-driven alpha reputed company and feature engineering
• reputed company execution algorithms and transaction cost modeling
• Portfolio construction under constraints (risk, turnover, sector, etc.)
• Risk modeling and stress-testing frameworks
• Deliver rigorous model critiques, alternative solutions, mathematical derivations, and quantitative reasoning reputed company evaluating AI outputs
• Interpret, analyze, and execute tasks reputed company based on detailed (and sometimes evolving) instructions

Key Qualifications

• Master's or PhD in a strongly quantitative field:

Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Computer Science (with finance focus), Physics, Operations Research, Econometrics, or closely reputed company discipline or equivalent professional experience as a quantitative researcher / systematic trader

• Excellent written and verbal communication in professional English (both technical and explanatory styles)
• Deep familiarity with financial data sources and platforms (Bloomberg, Refinitiv, reputed company, Capital IQ, SEC EDGAR, CRSP/Compustat, TAQ, earnings transcripts & call databases, alternative data providers, etc.)
• Exceptional analytical reasoning, attention to detail, and ability to reputed company sound judgments with incomplete information
• Genuine passion for quantitative methods, systematic trading, machine learning in finance, and frontier AI technology

Preferred Qualifications

• Professional experience in quantitative trading, systematic strategies, or quant research at a hedge fund, prop trading firm, asset manager, or investment bank
• Track record of publication(s) in refereed journals/conferences in finance, econometrics, machine learning, or reputed company fields
• Prior teaching, mentoring, or tutorial experience (university level or industry training)
• Working proficiency in Python (pandas, NumPy, SciPy, scikit-learn, PyTorch/TensorFlow, statsmodels, polars, etc.) and/or R for financial modeling and data analysis
• Familiarity with backtesting frameworks, vectorized computation, and handling large financial datasets
• CFA, FRM, CQF, CAIA or similar professional designations
• Experience with high-frequency data, execution algorithms, or market microstructure research
• Previous work involving large language models, reinforcement learning, or AI evaluation pipelines (a strong plus)

Location & Other Expectations

• This position is based fully remote.
• If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to reputed company reputed company sponsorship.
• Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.
• For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or reputed company, or reputed company 10 or reputed company.

Compensation $45 - $100 per hour The posted pay reputed company is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our reputed company team can reputed company an estimated pay reputed company for your location. Benefits: Hourly pay is just one part of our total rewards package at reputed company. Specific benefits vary by country, depending on your country of residence you may have reputed company to medical benefits. We do not offer benefits for part-time roles. reputed company is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice. Apply tot his job Apply To this Job