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Quant Analytics Jobs in Minnesota (NOW HIRING)

$15.75 - $21.25/hr

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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?

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 is a quant analytics professional?

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 does a quant analytics do?

A quant analyst, or quantitative analyst, develops mathematical models and uses statistical techniques to analyze financial data and inform investment decisions. They often work with programming languages like Python or R and tools such as Excel or specialized software to identify trends, assess risks, and optimize trading strategies.

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 Quantitative Analytics Specialist (#001806)

Wells Fargo

Minneapolis, MN • On-site

$153K - $239K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz

89th of 170 rated banks


Job description

At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Wells Fargo Bank N.A. seeks a Senior Quantitative Analytics Specialist in Minneapolis, MN.

Job Role and Responsibility:

Perform highly complex activities related to creation, implementation and documentation. Use highly complex statistical theory to quantify, analyze and manage markets. Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives. Utilize structured securities and provide expertise on theory and mathematics behind the data. Manage market, credit, and operational risks to forecast losses and compute capital requirements. Participate in the discussion related to analytical strategies, modeling and forecasting methods. Identify structure to influence global assessments, inclusive of technical, audit and market perspectives. Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills. Telecommuting is permitted up to 1 day a week. Position must appear in person to the location listed as the work address.

Travel required: 0%

Required Qualifications:

Degree required: Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline.

Alternative degree required: PhD in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline.

Amount and type of experience required: 4 years of experience in the job offered or in a related quantitative analytics role. Alternate combination of education and experience.

Alternative experience required: 1 year of experience in the job offered or in a related quantitative analytics role.

Specific skills required:

Specific skills required: Data analysis, modeling, and programming experience using SAS and Python or R; Significant analytic experience in statistical, econometric, and machine learning approaches to data analysis and modeling; Experience working with relational databases and Hadoop data file systems; Theoretical and applied knowledge pertinent to build Pre-Provision Net Revenue PPNR forecasting models using advanced statistical techniques/machine learning for stress testing; Experience with linear model technique including time-series, OLS, logistic regression, hazard models, and panel regression.

Salary: $153,000 - $239,000

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$0.00 - $0.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

4 Aug 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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