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Weekend Quantitative Analyst Jobs in Puerto Rico

Data Scientist

Juncos, PR · On-site

$90 - $120/hr

This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic ...

New

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Data analytics and visualization. * Ability to collect, organize, clean, analyze, and interpret complex operational or manufacturing data. Experience with tools such as Excel, Power BI, Smart- sheet ...

Showing results 21-23

Weekend Quantitative Analyst information

What is a weekend quantitative analyst?

A Weekend Quantitative Analyst is a professional who applies mathematical and statistical techniques to analyze data and solve financial or business problems, specifically during weekends. They often work for financial institutions, investment firms, or consulting companies, focusing on tasks such as modeling, risk analysis, and data interpretation. This role may involve supporting trading activities, conducting research, or testing algorithms outside of regular weekday hours. Weekend Quantitative Analysts help organizations maintain continuous operations and respond to market changes that occur over weekends. Strong skills in mathematics, programming, and data analysis are essential for success in this position.

What are the typical responsibilities of a weekend quantitative analyst, and how does the work differ from weekday roles?

As a Weekend Quantitative Analyst, your main responsibilities typically include real-time data analysis, monitoring market movements, and supporting trading teams during weekend trading sessions. Unlike weekday roles that may focus more on research or strategy development, weekend analysts often prioritize immediate problem-solving and rapid response to market events. Collaboration is usually remote, with communication channels open to traders and risk managers who require timely insights. This role is ideal for individuals seeking flexibility while still contributing to critical decision-making processes in financial institutions.

What are the key skills and qualifications needed to thrive as a weekend quantitative analyst, and why are they important?

To thrive as a Weekend Quantitative Analyst, you need strong quantitative analysis skills, proficiency in statistics, and a degree in mathematics, finance, or a related field. Familiarity with programming languages like Python or R, statistical modeling tools, and data visualization platforms is typically required. Exceptional problem-solving abilities, attention to detail, and effective time management set top performers apart in this role. These skills and qualities are crucial for accurate data-driven insights and timely financial decision-making, especially during critical weekend market hours.

What is the difference between Weekend Quantitative Analyst vs Part-Time Quantitative Analyst?

AspectWeekend Quantitative AnalystPart-Time Quantitative Analyst
CredentialsTypically requires a degree in finance, mathematics, or related field; certifications like CFA are commonSimilar educational background; certifications optional but beneficial
Work EnvironmentUsually works during weekends or specific days, often in financial firms or hedge fundsFlexible hours, often in the same environments as weekend analysts
Employer & Industry UsageUsed by hedge funds, asset managers, and financial institutions for weekend analysisCommon across financial firms for flexible, part-time support roles

The main difference between a Weekend Quantitative Analyst and a Part-Time Quantitative Analyst lies in their work schedule. Weekend analysts specifically work during weekends, while part-time analysts may have flexible hours throughout the week. Both roles require similar skills and credentials, and are used in comparable financial environments to support quantitative research and analysis.

Are weekend quantitative analysts in high demand?

Weekend quantitative analysts are in moderate demand, primarily in financial firms that require 24/7 market monitoring and data analysis. Their roles often involve skills in programming, statistical modeling, and familiarity with tools like Python or R, but demand can vary based on market conditions and company needs.

What are the most commonly searched types of Quantitative Analyst jobs in Puerto Rico?

The most popular types of Quantitative Analyst jobs in Puerto Rico are:

Infographic showing various Weekend Quantitative Analyst job openings in Puerto Rico as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Data Scientist

Veg Group

Juncos, PR • On-site

$90 - $120/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Current job opportunities are posted here as they become available.

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.

We are seeking a talented, dedicated individual committed to work under the highest ethics standards for the following position:

  • Data Scientist

Description:

SUMMARY

The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.

FUNCTIONS
  1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization.
  2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
  3. Taking the initiative and work independently with minimal supervision
  4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
  5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
  6. Working with SQL and other DB query languages
  7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
  8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner
  9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
  10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
EDUCATION
  • Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
COMPETENCIES/SKILLS
  1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
  2. Experience leading the projects and in executions of the projects end to end
  3. Experience with databases including relational, SQL, and Graph
  4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
  5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
  6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
  7. Excellent organization/planning skills and talent for managing many large and complex datasets
  8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
  9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
  10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
  11. Passion for learning and staying on top of current developments in advanced analytics.
  12. Biotech / Pharma experience

At Validation & Engineering Group, people always come first. We believe that when you're empowered to do your best work, bold ideas thrive and real progress happens. This isn't just a job - it's an opportunity to make a meaningful difference by shaping the future of healthcare and technology alongside a purpose-driven, supportive team.

Excited to build something meaningful together? We look forward to hearing from you.

Validation & Engineering Group is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

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