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Associate Quantitative Risk Analyst Jobs in Texas

Associate in Risk Management (ARM) preferred Knowledge, Skills, Abilities and Behaviors ... Strong analytical skills, adept at queries, report writing and presenting findings * Communication ...

Associate in Risk Management (ARM) preferred Knowledge, Skills, Abilities and Behaviors ... Strong analytical skills, adept at queries, report writing and presenting findings * Communication ...

Conduct quantitative cost and schedule risk analysis (QCRA/QSRA) using probabilistic and simulation based methods to evaluate forecast uncertainty and outcome distributions. * Analyze economic ...

Conduct quantitative cost and schedule risk analysis (QCRA/QSRA) using probabilistic and simulation based methods to evaluate forecast uncertainty and outcome distributions. * Analyze economic ...

The Senior Technology Risk Analyst is expected to manage and mature the enterprise risk register ... Define qualitative and quantitative metrics to assess the success of the risk program and provide ...

This position works to minimize risk by monitoring daily transaction exceptions to approved account ... Associates and 0 years * Card issuer or merchant acquirer experience is preferred * Ensures that ...

This position works to minimize risk by monitoring daily transaction exceptions to approved account ... Associates and 0 years * Card issuer or merchant acquirer experience is preferred * Ensures that ...

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Associate Quantitative Risk Analyst information

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use software like Excel, R, or Python to support risk management strategies. Strong analytical skills and knowledge of finance and statistics are essential for this role.

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.

Is a quant analyst a high paying job?

A quantitative risk analyst typically earns a competitive salary, especially in finance and investment firms, with compensation often increasing with experience, advanced degrees, and specialized skills in programming and statistical analysis. While salaries vary by location and employer, the role is generally considered well-paying within the finance industry.

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.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst at Morgan Stanley is typically between $80,000 and $150,000 annually, depending on experience, location, and level of seniority. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What is the salary of a quant risk analyst?

The salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and the complexity of the role. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

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 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 the most commonly searched types of Quantitative Risk Analyst jobs in Texas? The most popular types of Quantitative Risk Analyst jobs in Texas are:
What job categories do people searching Associate Quantitative Risk Analyst jobs in Texas look for? The top searched job categories for Associate Quantitative Risk Analyst jobs in Texas are:
What cities in Texas are hiring for Associate Quantitative Risk Analyst jobs? Cities in Texas with the most Associate Quantitative Risk Analyst job openings:
Sr. Intelligence Risk Analyst

Full-time

Retirement, PTO

Posted 24 days ago


Job description

Summary
The Sr. Intelligence Risk Analyst will lead enterprisewide efforts in datainformed threat assessment, forecasting, and prevention. This role translates complex, multisource data into actionable intelligence and decision support that protects our people, assets, and brand reputation. The Sr. Intelligence Risk Analyst will partner closely with senior leaders, applying advanced analytics to proactively identify risk, measure impact, and prioritize mitigation strategies across the organization.


Why Jewelers Mutual
Since 1913 we’ve been committed to supporting the Jewelry industry and putting customers at the center of everything we do. With over a century of trusted expertise, we’re financially strong, forward-thinking, and driven by curiosity. Guided by our core values of Agility, Accountability, and Relevancy, we lead through innovation.
As a technology focused organization, we embrace cutting-edge tools and data-driven insights to continuously improve our products, services, and customer experience. Our mission is to be the industry’s most trusted advisor by investing in our people, adopting new technologies, and striving for excellence.


What You'll Do

  • Oversee end to end risk analytics, applying descriptive, diagnostic, and predictive techniques to identify trends, drivers, and emerging threats.
  • Integrate, cleanse, and analyze large, multi-source datasets (internal incident data, external crime statistics, open-source intelligence, and third-party feeds).
  • Develop predictive and geospatial models to forecast crime patterns, quantify risk exposure, and identify high risk locations, behaviors, and time periods.
  • Design, maintain, and continuously enhance executive ready dashboards, scorecards, and heat maps, translating analytical findings into clear business insights.
  • Perform ongoing monitoring and anomaly detection to identify shifts in crime patterns and assess the effectiveness of prevention strategies.
  • Partner with cross functional stakeholders to deliver data backed recommendations, scenario analyses, and prioritization frameworks for risk mitigation investments.
  • Present complex analytical findings to senior leadership using clear narratives, visual storytelling, and measurable KPIs.
  • Develop and deliver training for management and frontline teams on data driven crime awareness, reporting quality, and risk indicators.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.


What You'll Bring

  • Bachelor’s degree in criminal justice, criminology, data analytics, statistics, or a related quantitative field.
  • 10+ years of experience in crime analysis, risk analytics, intelligence, or related fields, including
  • 3+ years in leadership or senior level analytical role.

 

Nice To Have 

  • Demonstrated success leading complex analytical initiatives and converting analysis into operational and executive level decisions.
  • Advanced proficiency with analytics and visualization tools (e.g., Tableau, Power BI, ArcGIS, SQL), including building scalable, automated reporting solutions.
  • Strong understanding of statistical analysis, trend modeling, and geospatial techniques as applied to crime and risk environments.
  • Exceptional communication skills with the ability to influence through data, insights, and evidence-based recommendations.
  • Preferred: Experience applying analytics in insurance, retail asset protection, financial crimes, or critical infrastructure risk environments.

What We Offer You

  • Community & Giving: Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes.
  • Great Place to Work® Certified: Join a team recognized for an environment of innovation and growth.
  • Collaborative Culture: Work alongside talented, passionate peers who value ownership and continuous learning.
  • Competitive Compensation & Benefits: Includes performance bonuses, generous paid time off, and a top-tier retirement program with 401(k) matching and additional company contributions.