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Quant Analytics Jobs in Minnesota (NOW HIRING)

Uses quantitative methods to research modeling methodology for the development, refinement and ... Minimum of 3 years of experience in risk management modeling or advanced analytics and in-depth ...

Uses quantitative methods to research modeling methodology for the development, refinement and ... Minimum of 3 years of experience in risk management modeling or advanced analytics and in-depth ...

Our team is seeking a strong, decisive, results-oriented quantitative analyst who will be responsible for building complex statistical models for our income statement. The model-building process is ...

Our team is seeking a strong, decisive, results-oriented quantitative analyst who will be responsible for building complex statistical models for our income statement. The model-building process is ...

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Quant Analytics information

What are the key skills and qualifications needed to thrive as a Quant Analytics professional, and why are they important?

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

How do Quant Analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.

What are Quant Analytics?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

What cities in Minnesota are hiring for Quant Analytics jobs? Cities in Minnesota with the most Quant Analytics job openings:
Claims Quantitative Analytics Analyst

Claims Quantitative Analytics Analyst

Allianz

Minneapolis, MN • On-site

Full-time

Posted 16 days ago


Allianz rating

9.3

Company rating: 9.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

14th of 259 rated insurance


Job description

ALLIANZ REINSURANCE OF AMERICA, INC.
AZRA is a specialty niche reinsurer, domiciled in California and licensed as an admitted insurer in 36 states (including District of Columbia), and is a qualified, accredited, or approved reinsurer in fifteen states. AZRA is a property casualty reinsurer which writes both prospective and legacy reinsurance. AZRA has specific expertise in run-off management of U.S. legacy insurance liabilities. It services Allianz Group affiliates and third parties including third party claims administration of asbestos, environmental, workers compensation, general liability, and construction defect liabilities.
AZRA has approximately 150 employees located nationwide with the majority working on a remote basis. AZRA is rated "AA-" by Standard & Poor's. As of December 31, 2025, AZRA had total admitted assets of USD $3.6 billion and policyholders' surplus of $265 million.
What you do:
Provide analytical support to the Quantitative Analytics function within Claims by developing, maintaining, and updating quantitative models, tools, and reports related to claims activity. This role focuses on lower-complexity modeling, preparatory analysis, and data organization, working under the direction of the Quantitative Analytics Manager and in partnership with Claims and Actuarial teams.
The position is designed to support scalability, improve turnaround times, and ensure consistency and accuracy of quantitative outputs, while allowing senior analytical resources to focus on the most complex and high-risk matters.
• Quantitative Modeling Support: Develop and update quantitative models in Microsoft Excel to support claims analysis, projections, and scenario evaluation. Perform lower-complexity modeling and assist with preparatory work for more complex analyses under the guidance of the Quantitative Analytics Manager. Update assumptions, inputs, and scenarios based on claim and market data as directed. Support reserve-related analyses in coordination with Actuarial and Claims teams.
• Tracking Tools & Allocation Support: Assist in building and maintaining settlement trackers, allocation calculators, and reporting tools. Gather and organize claim data to support policy allocations and claim tracking. Ensure tools are structured to be scalable and efficient as data volume increases.
Perform quality checks to validate accuracy and consistency of calculations.
• Reporting & Data Management: Support preparation of recurring reports related to claim payments, reserving activity, and remaining limits. Convert externally provided data into standardized internal formats. Assist with data preparation for leadership-facing analytics, including Business Review Meetings (BRMs) and other management reporting, as directed.
• Systems & Process Support: Assist with system enhancements, data imports/exports, and maintenance of analytical tools in Excel or Access. Support automation and efficiency initiatives led by the Quantitative Analytics Manager.
  • Utilization of artificial intelligence tools and resources (e.g. generative AI)

What you bring:
  • 2-3 years of experience required: Proven ability to work under guidance and supervision to create various formulas/macros in Excel, assessing large data sets, and forecasting futures based on trends.
  • Four-year degree required: Mathematics, statistics, or actuarial science degrees preferred.
  • You must be legally authorized to work in the U.S. without requiring immigration sponsorship now or in the future. This includes holders of H-1B, H4, L-1, L-2, TN, OPT, CPT, and other nonimmigrant visas.

Job posting range $80,000.00 - $119,000.00
Note the job posting range is exclusive of company benefits or other compensation. This role is also eligible for an annual incentive program. If you are hired, your final base salary will be determined based on factors such as geographic location, experience, skills, competencies, and/or education. In addition to those factors, we will also consider internal equity of our current employees. Please keep in mind that the range provided is the full base salary range for the role. Hiring at or near the maximum of the range would not be typical to allow for future and continued salary growth.
96238 | Customer Services & Claims | Professional | Non-Executive | Allianz Reinsurance | Full-Time | Permanent
What we offer:
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let's care for tomorrow.