1

Quant Analytics Jobs in Kentucky (NOW HIRING)

Quantitative analytical abilities. Strong organizational skills. Excellent technical skills. Understanding of the search engine space. Degree in a Computer Science field required. MSCS or PhD in ...

Research Analyst

Lexington, KY · On-site

$17.76 - $28.43/hr

The role includes processing, embedding, sectioning, staining, image acquisition, quantitative analysis, and reporting following established guidelines (e.g., standardized nomenclature and indices ...

The role includes processing, embedding, sectioning, staining, image acquisition, quantitative analysis, and reporting following established guidelines (e.g., standardized nomenclature and indices ...

FP&A Senior Financial Analyst

Lexington, KY · On-site

$72K - $90K/yr

Performs quantitative analysis of operational and financial data. Builds forecasts of future company performance and maintains dynamic models to support a rolling forecast, including long-term ...

Experience in using qualitative and quantitative analytical methods to analyze and evaluate the effectiveness and efficiency of fraud prevention operations. * Experience in utilizing software ...

Work assignments require a combination of strategic thinking, quantitative analysis, workstream management, cross-team collaboration, and storytelling. Team members can align with one of the ...

next page

Showing results 1-20

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 job categories do people searching Quant Analytics jobs in Kentucky look for? The top searched job categories for Quant Analytics jobs in Kentucky are:
What cities in Kentucky are hiring for Quant Analytics jobs? Cities in Kentucky with the most Quant Analytics job openings:
Advanced Analytics Manager

Advanced Analytics Manager

United Parcel Service (UPS)

Louisville, KY • On-site

$97K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


UPS rating

7.3

Company rating: 7.3 out of 10

Based on 2,324 frontline employees who took The Breakroom Quiz

23rd of 64 rated delivery companies


Job description

Before you apply to a job, select your language preference from the options available at the top right of this page.

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

The Advanced Analytics Manager solves complex business problems using advanced mathematical analysis, data modeling, and reporting. This role develops and implements analytics, business intelligence, and data solutions that improve profitability, service levels, and operational efficiency.

This position works closely with business stakeholders and collaborates with Operations Research Analysts and Data Scientists to translate requirements into scalable analytics and optimization solutions. It also contributes to the development of operating methodologies and standards and supports business initiatives through data-driven insights and decision support.

RESPONSIBILITIES

  • Analytics Development: Design and implement analytical models and solutions for moderately to highly complex business problems.
  • Business Intelligence: Develop dashboards, reports, and KPIs to support data-driven decision-making.
  • Project Execution: Lead analytics projects end-to-end, ensuring timely delivery and successful deployment.
  • Stakeholder Engagement: Collaborate with business partners and product owners to identify opportunities and communicate actionable insights.
  • Standards & Best Practices: Contribute to analytics methodologies, documentation, and reusable frameworks.
  • Team Support: Mentor junior analysts and promote best practices across the team.

QUALIFICATIONS

Required

  • Bachelor's degree in a quantitative field (e.g., Operations Research, Mathematics, Statistics, Computer Science, Engineering) or equivalent experience.
  • 4+ years of experience in analytics, operations research, data science, or related fields.
  • Strong analytical skills with experience applying advanced methods (e.g., statistical analysis, optimization, or machine learning).
  • Proficiency in SQL, C#, and object-oriented programming.
  • Experience with BI or visualization tools (e.g., Power BI, Tableau).
  • Ability to translate business problems into analytical solutions and deliver actionable insights.
  • Strong written and verbal communication skills.
  • Technical Skills
    Operations Research & Analytics
    o Linear Programming (LP)
    o Mixed Integer Programming (MIP)
    o Decomposition techniques
    o Simulation Modeling
    o Forecasting and Predictive Analytics
    o Machine Learning fundamentals
    o Statistical Analysis
    Programming & Tools
    o Python
    o SQL
    o R (preferred)
    C# or Java (preferred)
    Optimization Software
    o Gurobi
    o CPLEX
    o SCIP
    o OR-Tools
    o Other commercial or open-source solvers

Preferred

  • Master's degree in a quantitative field (e.g., Operations Research, Mathematics, Statistics, Computer Science, Engineering) or equivalent experience.
  • Experience with large-scale data environments and cloud platforms.
  • Familiarity with data pipelines, Extract, Transform, and Load (ETL) processes, and data warehousing concepts.
  • Experience deploying analytics solutions in production environments.
  • Knowledge of logistics, supply chain, or operational environments.

Grade: 30E

Last day for internals to apply is 7/17/26

Pay Range:

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,320-$138,720. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual short-term and/or long-term incentive compensation programs, subject to applicable eligibility requirements. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. The company offers the following benefits for this position, subject to applicable eligibility requirements. Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law, and Discounted Employee Stock Purchase Program.

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria:

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.


What UPS employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom