Quantitative developer [h1.location_city]
[job_alerts.create_a_job]
Quantitative developer • miami fl
- [promoted]
Quantitative Analytics Associate
VirtualVocationsCoral Gables, Florida, United States- [promoted]
Quantitative Research Engineer - PhD Graduate (US)
CitadelMiami, FL, United StatesPowerBI Developer
Siri InfoSolutions IncMiami, Florida, USA- [promoted]
Senior Quantitative Researcher
Balyasny Asset ManagementMiami, FL, United StatesServiceNow Developer
Arete Technologies IncMiami, FL, United States- [promoted]
Java Developer
Omni InclusiveMiami, FL, United States- [promoted]
OBIEE Developer
CData SoftwareMiami, FL, United StatesServiceNow Developer
Contact Government Services LLCMiami, FL, United States- [promoted]
Salesforce Developer
Syntricate TechnologiesMiami, FL, United States- [promoted]
Quantitative Developer
RaenTradingMiami, FL, United States- [promoted]
Senior Quantitative Researcher
Balyasny Asset Management, L.P.Miami, FL, USSQL Developer
Akaasa TechnologiesMiami, Florida, USA- [promoted]
Business Developer
Gordon Food ServiceMiami, FL, US- [promoted]
PowerBI Developer
Diverse LynxMiami, FL, United StatesJava Developer
Contact Government Services, LLCMiami, FL, US- [promoted]
Junior Java Developer
SynergisticITMiami, FL, United StatesQuantitative Developer / Research Engineer
Citadel SecuritiesMiami- [promoted]
SQL Developer
Mitchell MartinMiami, FL, United States- [promoted]
GIS Developer
DiamondpickMiami, FL, United StatesQuantitative Analytics Associate
VirtualVocationsCoral Gables, Florida, United States- [job_card.full_time]
A company is looking for a Quantitative Analytics Associate to validate and review risk models under supervision.
Key Responsibilities
Conduct hands-on quantitative model validation and review, including testing model soundness and performance
Challenge model assumptions and limitations to ensure robustness and compliance
Prepare detailed validation reports documenting findings and conclusions
Required Qualifications
Bachelor's degree in a quantitative discipline such as statistics, mathematics, or data sciences
One year of relevant analytics or modeling experience, or a graduate degree in a related field
Experience in data handling, transformations, and cleaning
Knowledge of statistical testing and root-cause analysis
Proficiency in programming languages such as Python, R, SQL, or SAS