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Weekend Quantitative Analyst Jobs in Iowa (NOW HIRING)

Assistant Brand Manager

Norway, IA · On-site

$39K - $48K/yr

Performs detailed, quantitative analysis on the business, identifying opportunities for improvement ... Periodic weekend or evening work is expected. The work environment characteristics described here ...

Assistant Brand Manager

Norway, IA · On-site

$39K - $48K/yr

Performs detailed, quantitative analysis on the business, identifying opportunities for improvement ... Periodic weekend or evening work is expected. The work environment characteristics described here ...

The Analyst II, Capital position sits within the Financial Planning and Analysis team. You will ... a related quantitative field; advanced degree (MBA, MS) a plus. * 2+ years of progressive ...

$115K - $145K/yr

Casework has both quantitative and qualitative elements, involving key responsibilities such as: * Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

New

$115K - $145K/yr

Casework has both quantitative and qualitative elements, involving key responsibilities such as: * Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

New

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Weekend Quantitative Analyst information

See Iowa salary details

$53.1K

$125.7K

$225.4K

How much do weekend quantitative analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for weekend quantitative analyst in Iowa is $125,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $136,700.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of a Weekend Quantitative Analyst, and how does the work differ from weekday roles?

As a Weekend Quantitative Analyst, your main responsibilities typically include real-time data analysis, monitoring market movements, and supporting trading teams during weekend trading sessions. Unlike weekday roles that may focus more on research or strategy development, weekend analysts often prioritize immediate problem-solving and rapid response to market events. Collaboration is usually remote, with communication channels open to traders and risk managers who require timely insights. This role is ideal for individuals seeking flexibility while still contributing to critical decision-making processes in financial institutions.

What is a Weekend Quantitative Analyst?

A Weekend Quantitative Analyst is a professional who applies mathematical and statistical techniques to analyze data and solve financial or business problems, specifically during weekends. They often work for financial institutions, investment firms, or consulting companies, focusing on tasks such as modeling, risk analysis, and data interpretation. This role may involve supporting trading activities, conducting research, or testing algorithms outside of regular weekday hours. Weekend Quantitative Analysts help organizations maintain continuous operations and respond to market changes that occur over weekends. Strong skills in mathematics, programming, and data analysis are essential for success in this position.

What is the difference between Weekend Quantitative Analyst vs Part-Time Quantitative Analyst?

AspectWeekend Quantitative AnalystPart-Time Quantitative Analyst
CredentialsTypically requires a degree in finance, mathematics, or related field; certifications like CFA are commonSimilar educational background; certifications optional but beneficial
Work EnvironmentUsually works during weekends or specific days, often in financial firms or hedge fundsFlexible hours, often in the same environments as weekend analysts
Employer & Industry UsageUsed by hedge funds, asset managers, and financial institutions for weekend analysisCommon across financial firms for flexible, part-time support roles

The main difference between a Weekend Quantitative Analyst and a Part-Time Quantitative Analyst lies in their work schedule. Weekend analysts specifically work during weekends, while part-time analysts may have flexible hours throughout the week. Both roles require similar skills and credentials, and are used in comparable financial environments to support quantitative research and analysis.

What are the key skills and qualifications needed to thrive as a Weekend Quantitative Analyst, and why are they important?

To thrive as a Weekend Quantitative Analyst, you need strong quantitative analysis skills, proficiency in statistics, and a degree in mathematics, finance, or a related field. Familiarity with programming languages like Python or R, statistical modeling tools, and data visualization platforms is typically required. Exceptional problem-solving abilities, attention to detail, and effective time management set top performers apart in this role. These skills and qualities are crucial for accurate data-driven insights and timely financial decision-making, especially during critical weekend market hours.
What are the most commonly searched types of Quantitative Analyst jobs in Iowa? The most popular types of Quantitative Analyst jobs in Iowa are:
What cities in Iowa are hiring for Weekend Quantitative Analyst jobs? Cities in Iowa with the most Weekend Quantitative Analyst job openings:
Data & Reporting Analyst

Data & Reporting Analyst

Holmes Murphy

West Des Moines, IA • On-site

Full-time

Posted 16 days ago


Job description

Job Summary:
Holmes Murphy is a company focused on empowering employees and building a best-in-class culture. They are seeking a Data & Reporting Analyst to transform insights into actionable strategies that drive performance and growth by analyzing complex datasets and partnering with business leaders.
Responsibilities:
• Collect, clean, and manage data from multiple sources to ensure accuracy and consistency
• Analyze complex datasets to identify trends, patterns, and actionable insights
• Develop and maintain reports and dashboards to monitor data performance
• Use statistical methods to validate and interpret data for business decisions
• Create clear data visualizations (charts, graphs, dashboards) to communicate insights
• Partner with cross-functional teams to understand business needs and deliver data-driven solutions
• Present findings and recommendations to stakeholders in a meaningful way
• Document processes, data definitions, and reporting standards
• Stay current on data tools, technologies, and industry best practices
• Support special projects and continuous improvement initiatives
Qualifications:
Required:
• Bachelor’s degree in data Analytics, Statistics, Mathematics, Computer Science or related field
• 2-3 years of relevant experience in data analysis
• Relational database experience
• Knowledge of reporting/analytical tools
• Advanced Excel skills
• Advanced proficiency in data analysis tooling and software (e.g. SQL, dbt, Excel, and Python)
• Strong analytical, quantitative, and problem-solving abilities
• Thorough knowledge of relational database theory and practice
• Business & Technology Knowledge: Understands business needs, makes informed decisions, and effectively delivers technology solutions, including related processes and procedures
• Analytical Skills: Ability to identify an opportunity and / or root cause, apply logical reasoning to analyze the facts, and develop and execute an effective outcome
Preferred:
• Experience in insurance, healthcare, or financial services
• Experience with data visualization tools (e.g. Power BI)
Company:
Holmes Murphy provides property casualty insurance, employee benefits, captive insurance, risk management, and loss control. Founded in 1932, the company is headquartered in Waukee, USA, with a team of 501-1000 employees. The company is currently Late Stage.