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Associate Quantitative Risk Analyst Jobs in Springboro, OH

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

Showing results 21-40

Associate Quantitative Risk Analyst information

See Springboro, OH salary details

$13

$35

$58

How much do associate quantitative risk analyst jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for associate quantitative risk analyst in Springboro, OH is $35.70, according to ZipRecruiter salary data. Most workers in this role earn between $26.30 and $43.46 per hour, depending on experience, location, and employer.

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 programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. 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.

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 is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. 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 job categories do people searching Associate Quantitative Risk Analyst jobs in Springboro, OH look for? The top searched job categories for Associate Quantitative Risk Analyst jobs in Springboro, OH are:
Data Analyst

Data Analyst

Booz Allen Hamilton

Dayton, OH • On-site, Remote

$61K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description

Data Analyst

The Opportunity:

The Data Analyst applies their technical and analytical capabilities to support key business and security objectives. This role involves working with stakeholders to clarify requirements, developing and maintaining analytical models, and transforming data into actionable insights. You will leverage your skills as a problem-solver, including working both independently and collaboratively to contribute to projects that enhance organizational efficiency and support threat mitigation programs.

What You'll Work On:

  • Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques.

  • Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative and qualitative data sets into compelling and understandable visuals.

  • Collaborate with project requestors, stakeholders, and project managers to refine project requests and clarify business needs and objectives.

  • Use data analytics to form business insights, identify issues, and recommend effective ways to boost organizational efficiency.

  • Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter, detect, and mitigate threats.

  • Support the sustainment of risk scoring tools and other data analysis implementations by identifying and helping to resolve system errors and failures.

  • Work closely with subject matter experts to learn about specific products and processes.

  • Support the preparation of reports and briefs on analyses and dashboard functionality for various internal teams.

  • Capture, maintain, and accumulate statistics that show quantities and timelines for key processes, such as data transfers between domains, to support system integrity and performance monitoring.

  • Assist in supporting Policy Business Operations, including policy analysis, review, and coordination.

  • Contribute to the creation and revision of technical documents, reports, and communications products, ensuring they integrate a common message.

Join us. The world can't wait.

You Have:

  • 1+ years of experience in a Geospatial Information Systems tool, such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, or FrameMaker

  • Experience in integrating, developing, and maintaining analytic models, visualizations, and tools

  • Experience coding to support writing scripts with tools, such as Java and Python

  • Experience using SharePoint, Tableau, Redmine, and systems or databases to manipulate and build data visualization

  • Active TS/SCI clearance; willingness to take a polygraph exam

  • Bachelor's degree in a Data Science, Statistics, or Business field and 6+ years of experience in data analysis or visualization, OR 10+ years of experience in data analysis or visualization in lieu of degree

Nice If You Have:

  • Experience in integrating, developing, and maintaining analytic models, visualizations, and tools in a security or threat-detection context preferred

  • Experience supporting threat, risk scoring, or other security-focused analytics programs

  • Experience with policy analysis or process improvement initiatives

  • Experience with GEOINT analysis software

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914