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Manager Quantitative Modeling Jobs in Florida (NOW HIRING)

This proposed role will support data management, statistical analysis, model development ... Develop quantitative risk assessment approaches evaluating effects of natural and man-made ...

Collaborate closely with quantitative researchers to translate mathematical models into production ... management and application development. Research Engineers will gain exposure to quantitative ...

New

... risk management. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and ...

... risk management. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and ...

The Quantitative Ecologist will support data management and analysis for the SEFSC Marine Mammal & Turtle Division, applying statistical models and developing simulations to address complex ...

The Quantitative Ecologist will support data management and analysis for the SEFSC Marine Mammal & Turtle Division, applying statistical models and developing simulations to address complex ...

The Quantitative Ecologist will support data management and analysis for the SEFSC Marine Mammal & Turtle Division, applying statistical models and developing simulations to address complex ...

$70K - $85K/yr

The Quantitative Ecologist will support data management and analysis for the SEFSC Marine Mammal & Turtle Division, applying statistical models and developing simulations to address complex ...

The Quantitative Ecologist will support data management and analysis for the SEFSC Marine Mammal & Turtle Division, applying statistical models and developing simulations to address complex ...

Showing results 21-40

Manager Quantitative Modeling information

What is the difference between Manager Quantitative Modeling vs Quantitative Analyst?

AspectManager Quantitative ModelingQuantitative Analyst
CredentialsAdvanced degrees (Master's/PhD), certifications like CFA or FRM often preferredBachelor's or Master's degree in finance, mathematics, or related fields
Work EnvironmentLeads teams, oversees model development, strategic planningDevelops models, analyzes data, supports trading or risk management
Employer & IndustryFinancial institutions, hedge funds, asset managersInvestment banks, asset management firms, hedge funds

While both roles involve quantitative skills and financial modeling, the Manager Quantitative Modeling typically focuses on leading teams and strategic oversight, whereas the Quantitative Analyst concentrates on developing and implementing models directly supporting trading or risk decisions.

What are the most commonly searched types of Quantitative Modeling jobs in Florida?

The most popular types of Quantitative Modeling jobs in Florida are:

What are popular job titles related to Manager Quantitative Modeling jobs in Florida?

For Manager Quantitative Modeling jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Manager Quantitative Modeling jobs in Florida look for?

The top searched job categories for Manager Quantitative Modeling jobs in Florida are:

What cities in Florida are hiring for Manager Quantitative Modeling jobs?

Cities in Florida with the most Manager Quantitative Modeling job openings:

Urgent On-Site Opening for Data Scientist - Juno Beach, FL - Need Local to FL Only.

SmartIPlace

Juno Beach, FL • On-site

Contractor

Re-posted 10 days ago


Job description

Note :

  • Need Local to FL with FL, I’d Only.
  • Need local within 40 miles.

Position Overview :

  • Candidate must have 2+ years’ experience in energy market applications - (energy and utilities).
  • Client is seeking a Data Scientist (Power Marketing & Machine Learning) to join a large-scale project with an enterprise organization in the energy and utilities industry.
  • This role will focus on developing and deploying advanced analytics and machine learning models that optimize trading, forecasting, and decision-making across power markets.
  • The ideal candidate combines deep technical expertise in data science and AI with strong quantitative and energy market domain knowledge.

Key Responsibilities :

Machine Learning & Advanced Analytics-

  • Design, develop, and deploy ML models for price forecasting, load prediction, and portfolio optimization.
  • Implement supervised, unsupervised, and reinforcement learning techniques to support trading and operational decisions.
  • Apply LLMs and RAG (Retrieval-Augmented Generation) frameworks to automate reporting, market analysis, and insight generation.
  • Fine-tune and evaluate generative AI models for quantitative and text-based analytics.

Agentic & Autonomous Decision Systems-

  • Develop intelligent trading assistants or agentic frameworks capable of monitoring and responding to real-time market data.
  • Implement planning, memory, and multi-agent collaboration features for autonomous analytical systems.
  • Define ethical and operational guardrails for autonomous AI tools.

Forecasting & Quantitative Modeling-

  • Build and maintain time-series forecasting models (ARIMA, LSTM, XGBoost, Prophet) for load, generation, and market price prediction.
  • Conduct optimization, scenario analysis, and stochastic modeling for trading, hedging, and dispatch strategy.
  • Integrate external data sources such as weather, ISO/RTO market feeds, and renewable output into predictive models.

Data Engineering & Infrastructure-

  • Develop and manage ETL/ELT pipelines using dbt, Airflow, or Prefect.
  • Work with cloud data platforms such as Databricks, Snowflake, and vector databases (FAISS, Pinecone, Weaviate).
  • Ensure data quality, lineage, and compliance within governed environments.

Analytics, Visualization & Communication-

  • Build intuitive dashboards and visual analytics using Power BI, Tableau, or Plotly.
  • Define KPIs to measure trading performance, market exposure, and forecast accuracy.
  • Translate complex analytical results into actionable insights for traders and executive leadership.

Statistical & Mathematical Modeling-

  • Apply advanced statistical and optimization techniques for regression, classification, and risk modeling.
  • Conduct uncertainty quantification and correlation analysis across power and commodity assets.
  • Analyze non-linear dependencies and volatility clustering in market behavior.

Required Qualifications :

  • Master’s or Ph.D. in Data Science, Computer Science, Finance, Engineering, Applied Mathematics, or related field.
  • Minimum 6+ or more years of experience in machine learning or advanced analytics, with at least 2 years in energy market applications.
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) and SQL.
  • Experience deploying ML models in AWS, Azure, or GCP environments.
  • Solid foundation in statistics, linear algebra, and optimization.

Preferred Qualifications :

  • Expertise in energy and power market dynamics, including generation, transmission, and ISO/RTO market operations (PJM, ERCOT, MISO, CAISO).
  • Familiarity with trading products such as FTRs, PPAs, futures, and swaps.
  • Experience modeling LMP, congestion, renewables, and carbon markets.
  • Background in AI agent frameworks (LangChain, LlamaIndex, CrewAI) or LLM-based automation.
  • Strong communication skills and the ability to operate effectively in fast-paced, high-stakes environments.
     

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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