Downtown Asset Mgmt PLLC ยท 2 days ago
Mathematician for Fixed Income Hedging Firm
United States
Full-time
Remote
Senior LevelDowntown Asset Mgmt PLLC is a new asset management firm seeking a Mathematician to assist with hedging algorithms and monitoring. The role involves cleaning up applications, deriving KPIs, fitting regression models, and overseeing process improvements in a remote setting.
Responsibilities
Script ETL Processes
Navigate API documentation
Apply calculus to derive KPIs from immutable observable variables
Develop smoothing and penalty functions to optimize chi-squared values
Use Cross Validation to improve goodness of fit
Integrate recent observations into an adaptive ARIMA
Penalize datas with partial stochastic differentials
Solve big systems with advanced algebras
Use systems of equations to select combinations that minimize a given objective function
Applying thread locking and similar concepts to ensure data integrity
Qualification
Required
Proven experience as a mathematician
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
Ok with revenue share/seat lease agreement in lieu of traditional salary
Strong background in Mathematics and Applied Mathematics
Knowledge of Physics concepts applied in financial modeling and problem-solving
Proficiency in Analytical Skills, with a focus on working with large datasets and deriving insights
Experience in Computer Science, including programming and algorithm development
Familiarity with statistical analysis and quantitative methods
Ph.D. in Mathematics, Physics, Electrical Engineering, Financial Engineering, or a related field
Strong communication skills and the ability to work effectively in a remote team environment
Knowledge of fixed income markets and financial instruments is an advantage
Company
Downtown Asset Mgmt PLLC
Risk advisory and fixed income investing services PLLC.
Founded in 2025
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase