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Bloomberg Quant Jobs in Meriden, CT (NOW HIRING)

The Hartford

Risk Manager, Investment Risk

Hartford, CT · On-site +1

$121K - $182K/yr

Proficiency with analytical tools and market data platforms such as Excel, Bloomberg, Intex, Trepp ... Degree in a quantitative discipline required; professional designations such as CFA or FRM ...

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Bloomberg Quant information

What is a Bloomberg Quant?

A Bloomberg Quant is a quantitative analyst who works at Bloomberg, focusing on developing mathematical models, algorithms, and tools to analyze financial data and support decision-making in trading, risk management, and investment strategies. These professionals use advanced statistical techniques, programming, and data analysis to interpret large datasets and generate actionable insights for Bloomberg's clients and internal teams. They often collaborate with engineers, data scientists, and financial experts to enhance Bloomberg's product offerings and maintain its leadership in financial analytics.

How does a Bloomberg Quant typically collaborate with other departments such as engineering and sales?

Bloomberg Quants work closely with engineering teams to implement quantitative models and ensure their integration into Bloomberg’s software platforms. They also interact with sales and product management to understand client needs, tailor analytical solutions, and provide technical support. Effective communication and teamwork are essential, as projects often require input from multiple disciplines to deliver robust, client-focused products. This collaborative environment enables Quants to gain a broader business perspective while deepening their technical expertise.

What are the key skills and qualifications needed to thrive as a Bloomberg Quant, and why are they important?

To thrive as a Bloomberg Quant, you need strong quantitative analysis skills, programming expertise (often in Python, C++, or R), and a relevant advanced degree such as a Master's or PhD in mathematics, finance, or a related quantitative field. Familiarity with financial modeling platforms, Bloomberg Terminal, and data analysis tools is typically required, along with knowledge of market data systems. Critical thinking, attention to detail, and effective communication are essential soft skills for translating complex data into actionable financial insights. These competencies are crucial for developing innovative quantitative strategies and delivering high-value analytics in a dynamic financial environment.

What is the difference between Bloomberg Quant vs Bloomberg Data Analyst?

AspectBloomberg QuantBloomberg Data Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; programming skillsBachelor's degree in finance, economics, or related fields; data analysis skills
Work EnvironmentQuantitative research teams, financial modeling, algorithm developmentData collection, cleaning, reporting, and supporting decision-making
Employer & Industry UsageFinancial institutions, hedge funds, asset managers using quantitative strategiesFinancial firms, investment banks, and corporations analyzing market data

Bloomberg Quants focus on developing complex models and algorithms to inform trading strategies, requiring advanced quantitative skills. In contrast, Bloomberg Data Analysts primarily handle data management and reporting tasks to support business decisions. Both roles are integral in financial services but differ in technical depth and responsibilities.

What are popular job titles related to Bloomberg Quant jobs in Meriden, CT?

For Bloomberg Quant jobs in Meriden, CT, the most frequently searched job titles are:

What cities near Meriden, CT are hiring for Bloomberg Quant jobs?

Cities near Meriden, CT with the most Bloomberg Quant job openings:

Bloomberg Quant jobs near you
Infographic showing various Bloomberg Quant job openings in Meriden, CT as of June 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Python Software Engineer - Financial Engineering

Guilford, CT • On-site

Risk Analytics Company
See more jobs at Risk Analytics Companyexternal

Full-time

Re-posted 20 hours ago

Job description

Job Title: Python Software Engineer – Financial EngineeringPosition Overview
We are an Portfolio Risk Analytics Company seeking a highly skilled Python Software Engineer with a strong background in financial engineering to design, develop, and maintain quantitative financial applications. The ideal candidate has experience building analytical tools, pricing models, trading systems, or risk management platforms using Python and modern software engineering practices.
Responsibilities
  • Design, develop, and maintain Python applications for financial analysis and quantitative modeling.
  • Build and optimize pricing, valuation, and risk management models for financial instruments.
  • Develop data pipelines for processing market, economic, and alternative data.
  • Implement and maintain backtesting frameworks for trading and investment strategies.
  • Collaborate with quantitative researchers, traders, portfolio managers, and software engineers.
  • Optimize code for performance, scalability, and reliability.
  • Integrate applications with market data providers, databases, and APIs.
  • Write clean, maintainable, and well-documented code.
  • Develop automated testing and deployment pipelines.
  • Monitor production systems and troubleshoot technical issues.
Required Qualifications
  • Bachelor's, Master's, PhD's degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering, or a related quantitative field.
  • 3+ years of professional Python development experience.
  • Strong knowledge of object-oriented programming and software design principles.
  • Experience with financial engineering concepts, including:
    • Derivative pricing
    • Fixed income analytics
    • Portfolio optimization
    • Risk management
    • Time series analysis
  • Experience with Python libraries such as:
    • NumPy
    • Pandas
    • SciPy
    • Statsmodels
    • scikit-learn
  • Experience working with SQL databases.
  • Familiarity with REST APIs and cloud platforms.
  • Experience using Git and CI/CD workflows.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience developing algorithmic trading systems.
  • Knowledge of stochastic calculus, Monte Carlo simulation, and numerical optimization.
  • Familiarity with financial data providers (S&P, Bloomberg, Refinitiv, ICE, Polygon.io, etc.).
  • Experience with distributed computing or high-performance computing.
  • Knowledge of Docker, Kubernetes, or cloud infrastructure (AWS, Azure, or GCP).
  • Experience with machine learning applied to financial markets.
  • Familiarity with C++, Rust, or Java is a plus.
Technical Skills
  • Python
  • NumPy
  • Pandas
  • SciPy
  • SQL
  • Git
  • Linux
  • Docker
  • REST APIs
  • Financial Modeling
  • Quantitative Finance
  • Risk Analytics
  • Time Series Analysis
Desired Personal Attributes
  • Strong quantitative reasoning
  • Excellent communication skills
  • Attention to detail
  • Ability to work independently and collaboratively
  • Passion for financial markets and technology
  • Commitment to writing high-quality, maintainable software
Nice-to-Have Experience
  • Quantitative research
  • Options pricing
  • Fixed income analytics
  • Portfolio construction
  • Market risk or credit risk systems
  • Backtesting platforms
  • Financial data engineering
  • AI/ML applications in finance