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Associate Quantitative Risk Analyst Jobs in Connecticut

Talcott Financial Group

Risk Director

Hartford, CT · On-site

$130K - $150K/yr

This associate will need to embody the following to achieve this. * Ability to navigate a matrix ... Monitor and analyze risk exposures * Lead risk analysis of in-force and transaction initiatives

Options Group

Risk Developer Consultant

Stamford, CT

Develop quantitative analysis of risk to deliver game changing solutions. Build and support risk operational infrastructure to maintain and continually exceed high standard of excellence. To succeed ...

Deloitte

Financial Risk Manager

Stamford, CT

Successful candidates will demonstrate an aptitude for complex problem-solving and analytical ... Advanced degree and/or certification (e.g., Quant MS, MBA, FRM, CFA, CRCM, CPA, PMP). * Expertise ...

FactSet

Senior Media Analyst

Norwalk, CT · On-site

$88.50K - $117.20K/yr

... Translate qualitative and quantitative client insights into clear product requirements ... FactSet is a financial research company that offers risk analytics tools and data for institutional ...

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Associate Quantitative Risk Analyst information

What are the key skills and qualifications needed to thrive as an Associate Quantitative Risk Analyst, and why are they important?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

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Associate Quantitative Risk Analyst jobs near you
Quantitative Model Engineer

Quantitative Model Engineer

Interactive Brokers

Greenwich, CT • Hybrid

Other

Medical, Dental, Vision, Retirement

Posted 10 days ago

Job description

This is a hybrid role (3 days in office / 2 days remote).

About Your Team:

Shape the Future of Market Integrity at Interactive Brokers.

Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem.

 What will be your responsibilities within IBKR:

  • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets
  • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations
  • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy
  • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades)
  • Evaluate model performance to optimize detection accuracy while minimizing false positives
  • Document methodologies to withstand regulatory scrutiny and examination.

 Which skills are required:

Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems.

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field
  • Strong programming proficiency in Python
  • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance
  • Domain expertise in at least one of:
    • Large-scale financial data analysis (orders, trades, market data)
    • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.)
    • Regulatory-driven feature engineering
  • Communication excellence in explaining complex surveillance concepts to diverse stakeholders.

Good to haves:

  • Regulatory background at the SEC, FINRA, or major securities exchanges
  • Advanced degree in a quantitative discipline
  • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost)
  • Deep understanding of market microstructure and trading strategies
  • Specialized knowledge in AML and market manipulation typologies

 To be successful in this position, you will have the following:

  • Self-motivated and able to handle tasks with minimal supervision.
  • Superb analytical and problem-solving skills.
  • Excellent collaboration and communication (Verbal and written) skills.
  • Outstanding organizational and time management skills.
Company Benefits & Perks
  • Competitive salary, annual performance-based bonus and stock grant
  • Retirement plan 401(k) with competitive company match
  • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium.
  • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP)
  • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack
  • Corporate events, including team outings, dinners, volunteer activities and company sports teams
  • Education reimbursement and learning opportunities

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