PY Quant Finance Data Scientist - 100% Remote Work - Revenue Share Compensation
Job Overview
Small manufacturing firm seeks PY Quant Data Scientist to massage, parse, and assay batches of Treasury bond and futures data.
You will be responsible for conducting api integrations, scripting ETL processes, effectuating client-side KPI derivations using vector and stochastic calculus, fitting weighted polynomial spline regression models, applying smoothing and penalty functions to regression models, applying cross-validation to improve results, using linear algebra to optimize large systems of equations, designing experiments, and overseeing continuous process improvements.
Duties
Script ETL Processes.
Navigate API interfacing.
Apply calculus to derive KPIs from immutable observable variables.
Implement multinomial 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.
Please be advised that this is not a full-time job and you will not earn a salary to begin. This is an opportunity for people who want to earn sweat equity in a small business's incidental financial risk management practice. Compensation is firm equity vesting upon completion of an MVP and a fixed portion of net revenues.
Job Types: Part-time, Contract
Pay: $1.00 per year
Schedule:
Choose your own hours
Experience:
Python and StatsModels: 3 years (Required)
Work Location: Remote
Apply Now
Small manufacturing firm seeks PY Quant Data Scientist to massage, parse, and assay batches of Treasury bond and futures data.
You will be responsible for conducting api integrations, scripting ETL processes, effectuating client-side KPI derivations using vector and stochastic calculus, fitting weighted polynomial spline regression models, applying smoothing and penalty functions to regression models, applying cross-validation to improve results, using linear algebra to optimize large systems of equations, designing experiments, and overseeing continuous process improvements.
Duties
Script ETL Processes.
Navigate API interfacing.
Apply calculus to derive KPIs from immutable observable variables.
Implement multinomial 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.
Please be advised that this is not a full-time job and you will not earn a salary to begin. This is an opportunity for people who want to earn sweat equity in a small business's incidental financial risk management practice. Compensation is firm equity vesting upon completion of an MVP and a fixed portion of net revenues.
Job Types: Part-time, Contract
Pay: $1.00 per year
Schedule:
Choose your own hours
Experience:
Python and StatsModels: 3 years (Required)
Work Location: Remote
Apply Now