Quantitative developer [h1.location_city]
[job_alerts.create_a_job]
Quantitative developer • pompano beach fl
Quantitative Analytics Associate
VirtualVocationsFort Lauderdale, Florida, United StatesPega Developer
TechDigital CorporationSunrise, FL, United States- [promoted]
RPA developer / analyst
RIT Solutions, Inc.Margate, FL, United States- [promoted]
SQL Developer
Next Step Systems LTDFort Lauderdale, FL, United StatesUSA_Developer
VariteSunrise, FL, United StatesDeveloper
Tata Consultancy ServicesSunrise, FLECommerce Developer
Ryze AgencyFort Lauderdale, FL, United StatesPython developer
ArtechSunrise, FL, United States- [promoted]
Reactjs Developer
Syntricate TechnologiesSunrise, FL, United States- [promoted]
Webflow Developer / Webmaster Developer
Save the WaterFort Lauderdale, FL, United StatesSenior Developer
Purple DriveFort Lauderdale, Florida, USASoftware Developer
GA Telesis, LLCFort Lauderdale, FL, US- [promoted]
NET Developer
DiRx IncNorth Lauderdale, FL, United StatesJava Developer
Axiom Software Solutions LimitedFort Lauderdale, FL, US- [promoted]
Java Developer
My3Tech IncSunrise, FL, United StatesSQL Developer
MSi CorpFort Lauderdale, FL, United StatesPython Developer
NuStar TechnologiesSunrise, Florida, USA- [promoted]
USA_Developer
Mitchell MartinFort Lauderdale, FL, United StatesQuantitative Analytics Associate
VirtualVocationsFort Lauderdale, 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