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Quant Analytics Jobs in Missouri (NOW HIRING)

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO

Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL Qualifications quantitative analysis in data science capabilities predictive & statistical ...

ten healthcare

Cannabis Laboratory Technologist

Fenton, MO · On-site

$20 - $22/hr

Familiarity with quantitative analysis, chromatography techniques (PCR, HPLC, GCMS), or ISO 17025 standards is a plus. Work Environment & Physical Requirements: * The role involves sitting, standing ...

ten healthcare

Cannabis Laboratory Technologist

Fenton, MO · On-site

$20 - $22/hr

Familiarity with quantitative analysis, chromatography techniques (PCR, HPLC, GCMS), or ISO 17025 standards is a plus. Work Environment & Physical Requirements: * The role involves sitting, standing ...

Stifel

Manager Research Sr Analyst

Saint Louis, MO · On-site +1

$112K - $113K/yr

The Manager Research Sr. Analyst significantly contributes to the quantitative and fundamental research activities related to three product universes - Mutual Funds (MFs), Separately Managed Accounts ...

New

University of Missouri

Research Scientist

Columbia, MO · On-site

FAPRI provides quantitative analysis of the impact of policies affecting agriculture, food and rural economies to the U.S. Congress and other domestic and international decision makers and is widely ...

Wood Plc

GIS Analyst - FEMA

Ballwin, MO · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a local and regional water resources team (primarily flood risk analysis and mapping) * Compile ...

Wood Plc

GIS Analyst - FEMA

Kansas City, MO · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a local and regional water resources team (primarily flood risk analysis and mapping) * Compile ...

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All JobsQuant Analytics JobsQuant Analytics Jobs in Missouri

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 Missouri? For Quant Analytics jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Quant Analytics jobs in Missouri look for? The top searched job categories for Quant Analytics jobs in Missouri are:
What cities in Missouri are hiring for Quant Analytics jobs? Cities in Missouri with the most Quant Analytics job openings:
Quant Analytics jobs near you
Infographic showing various Quant Analytics job openings in Missouri as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Jr. Data Scientist

Jr. Data Scientist

Embtel, Inc.

Saint Louis, MO

Full-time

Re-posted 28 days ago

Job description

Company Description

At Embtel Inc, our commitment is to be an expert provider of tailored, end-to-end enterprise-class IT solutions for mid-market and enterprise companies through high-touch customer service. Embtel offers a full suite of IT solutions including cloud and hosting solutions, managed services, ERP application management, professional services, IT hardware and top tier data centers.

At Embtel Inc, our principles of leadership and innovative engineering helps customers reduce costs, improve service levels, increase revenues and gain local-to-global competitive advantage. Our customers span multiple industries including healthcare, manufacturing, financial services, retail, and government.

Customers choose us because our experienced team leverages and manages mission-critical data centers, cloud, and customer infrastructure 24/7/365. Our services ensure customer data is secure, available, and helps meet their compliance requirements.

Embtel Inc. helps professionals to achieve highest degree of client satisfaction through our customized training programs based on the client's business needs to empower program managers, project managers, and business analysts. Our trainers have encompassing experience in not only the tools we support, but also in project management and earned value methodology, enterprise systems, database architecture, business reengineering and more.

Job Description

Knowledge/Experience: Master's degree in Statistics, Mathematics, Computer Science,
Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or
Bachelor's degree and 5+ years of quantitative analysis experience in data science
capabilities including data mining, predictive modeling, machine learning, statistical
modeling, large scale data acquisition, transformation, and structured and unstructured
data analysis. Experience with database technologies, including Oracle, SAP, DB2, Teradata,
MS SQL Server, SAP HANA, MySQL

Qualifications

quantitative analysis in data science capabilities predictive & statistical modeling Teradata,
MySQL, DB2 & SQL Server

Additional Information

All your information will be kept confidential according to EEO guidelines.

EMBTEL logo

About EMBTEL

Sourced by ZipRecruiter

Embtel, Inc was established in year 2011. Embtel isn’t just any IT staffing and recruiting firm. We firmly believe in the importance of people. Personal relationships are incredibly valuable to what we do. To that end, we work hard to make sure both clients and employees are satisfied with their placement. We want our employees to shine and our clients to be satisfied. The climate in our office is a positive one. We work hard. We have fun. We exchange the occasional high five. We believe a positive atmosphere leads to positive results. We trust our employees. We understand their needs. We make things happen. We’ve been excelling in IT solutions since 2005. Our organized, unique approach has yielded quality results time after time. And, we’ll continue to do it this way.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2011

Social media

Facebook

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