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Quant Analytics Jobs in Minnesota (NOW HIRING)

Bachelor's degree in Marketing, Analytics, Economics, Mathematics, or a related quantitative field * 7+ years of experience in marketing analytics, reporting, or related analytical roles * Advanced ...

FP&A

Hopkins, MN · Hybrid

Experience using quantitative analytical tools to assemble, analyze, and draw conclusions from business data * Familiarity report writing with SQL databases * Bachelor's Degree in finance, economics ...

Quantitative Modeler Manager - AML

Minneapolis, MN · On-site

$57.25 - $74/hr

This individual will have proven capabilities driving analytical projects that require ... Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant ...

Conducts advanced analysis using quantitative and qualitative software, reviews and interprets data and recommends action steps based on analytical results. Identifies existing institutional or ...

Senior Health Services Analyst

Rochester, MN · On-site

$89K - $118K/yr

Conducts advanced analysis using quantitative and qualitative software, reviews and interprets data and recommends action steps based on analytical results. Identifies existing institutional or ...

Lab Technician

Saint Paul, MN

$18.50 - $24.75/hr

Perform chemical and physical laboratory tests to assist scientists in making qualitative and quantitative analyses of solids, liquids, and gaseous materials. * Compile, analyze, and interpret test ...

Lab Technician

Saint Paul, MN

$18.50 - $24.75/hr

Perform chemical and physical laboratory tests to assist scientists in making qualitative and quantitative analyses of solids, liquids, and gaseous materials. * Compile, analyze, and interpret test ...

Senior Health Services Analyst

Rochester, MN · Hybrid

$89K - $118K/yr

Conducts advanced analysis using quantitative and qualitative software, reviews and interprets data and recommends action steps based on analytical results. Identifies existing institutional or ...

Senior Health Services Analyst

Rochester, MN · Hybrid

$89K - $118K/yr

Conducts advanced analysis using quantitative and qualitative software, reviews and interprets data and recommends action steps based on analytical results. Identifies existing institutional or ...

Showing results 41-60

Quant Analytics information

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 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.

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.

Is a quant analyst high paying?

Quant analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes bonuses and incentives, especially in financial firms or hedge funds, making it a lucrative career path for those with advanced quantitative expertise.

What is quant analytics salary?

The salary for a quant analyst typically ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those at top financial firms can earn over $200,000, often supplemented with bonuses and performance incentives. Skills in programming, statistical analysis, and financial modeling are highly valued in this field.

What does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies. They often work with programming languages like Python or R and tools such as Excel or MATLAB to identify market opportunities and manage risk. Their work supports investment decisions and requires strong analytical skills and knowledge of finance and mathematics.

What is a quantitative analytics job?

A quantitative analytics job involves using mathematical models, statistical techniques, and programming skills to analyze financial data, identify trends, and support decision-making. Professionals in this field often work with tools like Python, R, or SQL and require strong analytical and problem-solving abilities. The role is common in finance, investment firms, and risk management 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 popular job titles related to Quant Analytics jobs in Minnesota? For Quant Analytics jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Quant Analytics jobs? Cities in Minnesota with the most Quant Analytics job openings:
Senior Data Analytics Reporting Analyst - Investment Consultancy & Oversight and Multi-Manager S...

Senior Data Analytics Reporting Analyst - Investment Consultancy & Oversight and Multi-Manager S...

Ameriprise Financial

Minneapolis, MN

$89K - $113K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 17 days ago


Ameriprise rating

7.8

Company rating: 7.8 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

97th of 150 rated financial services


Job description

About Our Company


Working at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.

We're intentionally built to help you succeed. Our reach is expansive with a Columbia Threadneedle Investments global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.

Job Description

The Data Engineering team serves as a core member of the quantitative and data infrastructure supporting the Investment Consultancy & Oversight and Multi-Manager Solutions businesses.
This role is responsible for data sourcing, validation, analytical development, and reporting production in direct partnership with the Coverage Analysts and Investment Strategy and Research team as well as the investment professionals within the Multi-Manager Solutions business.
The team builds and maintains the models, tools, dashboards, and reporting capabilities that enable both businesses to conduct rigorous investment oversight, deliver high-quality research, and support portfolio construction and manager selection activities.
The role requires an entrepreneurial mindset. The Senior Data, Analytics & Reporting Analyst is expected proactively identify opportunities to improve analytical capabilities and bring forward ideas that enhance the efficiency and impact of the team's output. Success in this role depends on technical proficiency, problem-solving and developing an innovative team that can deliver state-of-the-art technologies to continuously improve investment outcomes.

Partnership with Coverage Analysts, Investment Strategy and Research, and Multi-Manager Solutions

Work in close, ongoing collaboration with the Coverage Analysts and Investment Strategy and Research team, as well as the investment professionals within Multi-Manager Solutions, to understand their analytical needs and translate those needs into effective data solutions, models, and reporting. Participate in research discussions and project planning to ensure that data and analytical capabilities are aligned with the priorities of both Investment Consultancy & Oversight and Multi-Manager Solutions. Proactively identify gaps in existing tools or data coverage and propose solutions that enhance the teams' ability to generate insights and support investment decision-making.

Data Management & Quality

Source, validate, and maintain investment data across multiple platforms and databases to support all investment oversight, research, and multi-manager activities. Ensure data quality, consistency, and accessibility for the Coverage Analysts, Investment Strategy & Research team, Multi-Manager Solutions team, and broader stakeholders. Partner with Enterprise Technology and vendor teams to resolve data issues and enhance data infrastructure. Manage data feeds and relationships with key data providers including Bloomberg, FactSet, Morningstar, and Aladdin.

Quantitative Development & Analytical Tools

Build, maintain, and enhance quantitative models, analytical tools, and performance attribution systems used across Investment Consultancy & Oversight and Multi-Manager Solutions. Develop automated solutions that improve the efficiency and accuracy of recurring analytical workflows. Support backtesting, scenario analysis, and factor-based research efforts in coordination with the Investment Strategy & Research team and Multi-Manager Solutions investment professionals. Apply sound model governance practices including documentation, version control, and validation protocols.

Reporting & Dashboard Development

Continuously evaluate reporting processes for opportunities to improve clarity, efficiency, and automation. Produce regular and ad-hoc reports for investment teams, senior management, and oversight committees across both businesses, ensuring timely and accurate delivery of performance reports, risk metrics, and strategy dashboards. Design and maintain dashboard capabilities that provide Coverage Analysts, Investment Strategy and Research Analysts, and Multi-Manager Solutions professionals with ready access to the data and visualizations they need.

Process Improvement & Innovation

The core function is to drive efficiency improvements through automation, process optimization, and the adoption of new technologies and methodologies. Identify opportunities to leverage emerging capabilities including artificial intelligence and machine learning to enhance the team's analytical infrastructure. Support new product development and market research efforts through data analysis and quantitative modeling. Approach recurring process with a critical eye toward whether it can be done better, faster, or more reliably.

Cross-Functional Collaboration

Collaborate with Enterprise Technology and IT teams on technology enhancement projects and platform development. Support the Investment Risk Management team with data and analytical needs as required. Coordinate effectively with team members across Boston, New York, London, and India to ensure seamless collaboration across time zones and consistent quality standards.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field
  • Experience in data engineering / analytics, quantitative development, or reporting within institutional investment management or a related financial services environment
  • Advanced proficiency in programming languages (Python, R, SQL) and experience with database management platforms
  • Experience with large data sets, data infrastructure and development
  • Ability to communicate complex and technical concepts clearly and concisely to both technical and non-technical audiences, in written and verbal form
  • Ability to interact with personnel at all levels of asset management and consultant firms and represent Columbia Threadneedle Investments in a highly professional manner
  • Strong organizational and project management skills, with a demonstrated ability to manage competing priorities and deliver high-quality work on deadline

Preferred Qualifications

  • CFA, CAIA, FRM, or similar professional certification
  • Strong understanding of investment data, portfolio analytics, performance attribution, and risk measurement, with the ability to contextualize quantitative output within a broader investment framework
  • Experience with cloud-based platforms (AWS/Azure), big data technologies, or SaaS (Snowflake)
  • Background in investment consulting, multi-manager environments, or investment operations
  • Experience working with financial data providers and platforms such as Bloomberg, FactSet, Morningstar, eVestment, and Aladdin
  • Track record of initiative, intellectual curiosity, and entrepreneurial approach to problem-solving

Visa Sponsorship


Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

In-Office Collaboration


We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Base Pay Salary

The estimated base salary for this role is $170,000 - $183,000 per year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurance.

Full-Time/Part-Time

Full time

Exempt/Non-Exempt

Exempt

Job Family Group

Investment Management

Line of Business

AMINV US Asset Management

Columbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.

Columbia Threadneedle is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.


What Ameriprise employees say

Pay

Benefits

Hours and flexibility

Workplace

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Ameriprise logo

About Ameriprise

Sourced by ZipRecruiter

At Ameriprise Financial, we're not just in the business of helping clients with their financial goals - we also help our advisors and employees reach their true potential by embracing an inclusive and collaborative culture. We celebrate the unique qualities and reward the contributions of our talented, passionate employees. If you're motivated and want to work for a strong, ethical company that cares about you and your community, take the next step with Ameriprise Financial.

Industry

Funds, trusts and financial programs

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

1894

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