PY Quant Finance Data Scientist - 100% Remote Work - Revenue Share Compensation

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a PY Quant Finance Data Scientist position, offering part-time, remote work with revenue share compensation. Key skills required include Python, ETL processes, regression modeling, and experience with NumPy and SciPy. Strong mathematical background is essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
800
🗓️ - Date discovered
April 26, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Remote
🧠 - Skills detailed
#SciPy #API (Application Programming Interface) #Clustering #Data Science #Calculus #"ETL (Extract #Transform #Load)" #Migration #Regression #Documentation #NumPy #Batch
Role description
Job OverviewSmall manufacturing firm seeks PY Quant Data Scientist to massage, parse, and assay batches of Treasury futures data. We just finished our first high-frequency trade algo and are now migrating to a new brokerage. You will be responsible for sprinting through an API integration as we script ETL processes, effectuate client-side KPI derivations using vector and stochastic calculus, fit and penalize weighted polynomial spline regression models, applying cross-validation to locate eigen knots, apply linear algebra to solve systems of equations, and overseeing continuous process improvements. Duties Script ETL Processes. Navigate API documentation and integrations. Apply calculus to derive KPIs from immutable observable variables. Implement regression in NumPy, SciPy, and StatsModels. Develop smoothing and penalty functions to reduce chi-squared values. Use Cross Validation toolkits to improve goodness of fit. Integrate recent observations into an adaptive ARIMA. Identify outliers and anomalies using clustering, z-scores, and related methods and define these observations as break points in piecewise linear functions. Use systems of equations to select combinations that minimize a given objective function. Document processes, workflows, and best practices for future reference and training purposes. Stay updated with industry trends and technologies as market conditions and firm privileges evolve. Experience Proven experience as a mathematician and data scientist. Knowledge of analytics tools and techniques. Familiarity with regression modeling tools like StatsModels and SciPy. Skills designing experiments and evaluating hypotheses. Knowledge of data warehousing concepts is a plus. This is an opportunity for people who want to earn an interest in revenues a small business's incidental financial risk management practice. Compensation is a voting interest vesting upon completion of an MVP and 8-20% of firm net revenues depending on the number of hours you work. Please send your resume in here and then text at 303-578-8469 to introduce yourself. If you have appropriate qualifications, we will schedule an interview. The job will begin immediately--you will be asked to dive into an API migration on your first day. Job Types: Part-time, Contract Pay: $100.00 per year Schedule: Choose your own hours Work Location: Remote