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Market Risk Manager Jobs in Milford, CT (NOW HIRING)

Risk Analyst

Norwalk, CT · On-site

$120K - $155K/yr

Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative ... market environments. As one of the industry's longest-standing global macro and trend-following ...

Personal Lines Manager

East Setauket, NY · On-site

$49K - $66K/yr

... tailored risk management solutions for clients with sophisticated insurance needs. Many of our ... Partner with leading national and specialized insurance carriers to market accounts, negotiate ...

Personal Lines Manager

East Setauket, NY · On-site

$49K - $66K/yr

... tailored risk management solutions for clients with sophisticated insurance needs. Many of our ... Partner with leading national and specialized insurance carriers to market accounts, negotiate ...

Senior Manager Insights

Norwalk, CT · On-site

$130K - $150K/yr

Senior Market Research Manager Hybrid | 2 days/week in office (Mon/Weds) | CT Based Comp: $130,000-$150,000 base + discretionary bonus Contact: Lindsey Bartlett - lbartlett@smithhanley.com A boutique ...

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Showing results 1-20

Market Risk Manager information

See Milford, CT salary details

$51.7K

$111.9K

$170.5K

How much do market risk manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for market risk manager in Milford, CT is $111,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $129,400.00 per year, depending on experience, location, and employer.

What does a market risk manager do?

A Market Risk Manager is responsible for identifying, assessing, and mitigating risks that arise from fluctuations in market variables such as interest rates, foreign exchange rates, and equity prices. They analyze trading portfolios, conduct stress tests, and develop risk management strategies to protect their organization from potential losses. Additionally, Market Risk Managers work closely with traders, analysts, and senior management to ensure that market risks are understood and maintained within acceptable levels.

How does a market risk manager typically collaborate with other departments within a financial institution?

A Market Risk Manager works closely with various departments such as trading, treasury, and compliance to monitor and mitigate potential risks in the institution’s portfolio. They often consult with traders to understand new products and exposures, coordinate with IT teams to enhance risk management systems, and report findings to senior management and regulatory bodies. Regular communication and collaboration are essential to ensure all teams are aligned in managing risk effectively and responding promptly to market developments.

What are the key skills and qualifications needed to thrive as a market risk manager, and why are they important?

To thrive as a Market Risk Manager, you need strong quantitative analysis skills, a background in finance or economics, and often an advanced degree such as an MBA or CFA. Familiarity with risk management software (like Value-at-Risk models), statistical tools, and financial systems such as Bloomberg Terminal is typically required. Excellent problem-solving, communication, and decision-making skills set standout candidates apart in this highly analytical role. These capabilities are crucial for accurately assessing market risks, supporting sound investment decisions, and ensuring regulatory compliance in dynamic financial environments.

What is the difference between Market Risk Manager vs Credit Risk Analyst?

AspectMarket Risk ManagerCredit Risk Analyst
Required CredentialsBachelor's degree, often CFA or FRMBachelor's degree, often CFA or FRM
Work EnvironmentFinancial institutions, trading floors, risk departmentsBanks, lending institutions, credit departments
Employer & Industry UsageUsed in investment banks, asset managers, hedge fundsUsed in commercial banks, credit agencies, lending firms
Common Search & ComparisonOften compared for risk management roles in financeCompared for credit analysis roles

The Market Risk Manager focuses on identifying and managing risks related to market fluctuations, such as interest rates and stock prices. In contrast, the Credit Risk Analyst assesses the creditworthiness of borrowers to mitigate default risk. Both roles require similar credentials and are vital in financial institutions, but they specialize in different risk areas.

Do market risk managers make good money?

Market risk managers typically earn competitive salaries that vary based on experience, location, and industry. According to industry reports, median salaries range from $80,000 to over $150,000 annually, with higher earnings possible for those with advanced certifications like FRM or CFA and extensive experience. Bonuses and benefits can also significantly increase total compensation in this role.

What are popular job titles related to Market Risk Manager jobs in Milford, CT?

For Market Risk Manager jobs in Milford, CT, the most frequently searched job titles are:

What job categories do people searching Market Risk Manager jobs in Milford, CT look for?

The top searched job categories for Market Risk Manager jobs in Milford, CT are:

What cities near Milford, CT are hiring for Market Risk Manager jobs?

Cities near Milford, CT with the most Market Risk Manager job openings:

Infographic showing various Market Risk Manager job openings in Milford, CT as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $111,888 per year, or $53.8 per hour.

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT • On-site

Full-time

Re-posted 3 days 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