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Weekend Quantitative Analyst Jobs in Oregon (NOW HIRING)

$130K - $150K/yr

We are seeking a Quantitative Analyst to join the Enterprise Intelligence team. This fully remote role will focus on developing and maintaining sophisticated quantitative models and conducting deep ...

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

Design and conduct quantitative analyses and experiments to test hypotheses, helping prioritize the highest-impact opportunities across channels and products * Collaborate with Analytics Engineering ...

... Quantitative research Unstructured data analysis Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and procurement ...

Strong foundation in statistical analysis and quantitative methods. * Ability to analyze and interpret healthcare utilization, cost trends, and financial data. * Deep understanding of claims data and ...

Quantitative research * Unstructured data analysis * Natural language processing * Equipment utilization analysis * Supply/Demand analysis * Inventory level optimization * Supply management and ...

Bachelor's degree in a quantitative or business field (e.g., Finance, Economics, Math, or related discipline). * 2+ years of experience leading large-scale analytics initiatives or programs; SaaS and ...

Develops clear, qualitative and/or quantitative analyses in support of Corporate Compliance ... Duties may also require working evenings and weekends as needed. * Travel required: 10-20%

Bachelor's degree in Finance, Economics, Accounting, Mathematics, or a related quantitative field ... Owns analyses end-to-end with a recommendation, not just the math. Thrives in a remote-first ...

Data Analyst II

OR · On-site +1

... quantitative models and trading strategies. This dual audience, along with daily feed delivery on a ... As a Data Analyst for Kepler, you'll ramp quickly and build deep expertise in our third-party and ...

New

Data Analyst II

OR · On-site +1

... quantitative models and trading strategies. This dual audience, along with daily feed delivery on a ... As a Data Analyst for Kepler, you'll ramp quickly and build deep expertise in our third-party and ...

New

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Weekend Quantitative Analyst information

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 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 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.

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 are the most commonly searched types of Quantitative Analyst jobs in Oregon? The most popular types of Quantitative Analyst jobs in Oregon are:
What are popular job titles related to Weekend Quantitative Analyst jobs in Oregon? For Weekend Quantitative Analyst jobs in Oregon, the most frequently searched job titles are:
Senior Quantitative Analyst

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Description
AmeriSave Mortgage has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. We leverage cutting-edge technology and data-driven strategies to provide exceptional service to our customers.
Our employees are the driving force behind our success. We believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they're celebrated. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.
At AmeriSave, we're one team with one shared dream - to be the best. Let's redefine excellence together!
What We're Looking For:
We are seeking a Quantitative Analyst to join the Enterprise Intelligence team. This fully remote role will focus on developing and maintaining sophisticated quantitative models and conducting deep analysis of business metrics to uncover deficiencies and opportunities that drive revenue and profit.
This is a fast-paced, high-ownership environment where ideas move quickly from concept to production. You will work on projects that are not only technically challenging but also highly visible and business-critical, delivering tangible impact across the organization. Analysts are empowered to take initiative, think creatively, and solve hard problems-resulting in deeply rewarding and high-leverage contributions that drive revenue and profit for the company.
What You'll Do:
  • Design and Develop Quantitative Models: Build advanced statistical and quantitative models to support forecasting, pricing optimization, and risk assessment. Ensure models are efficient, transparent, and suitable for deployment in production environments.
  • Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial metrics to detect process deficiencies, performance gaps, and new opportunities to improve revenue and profitability. Develop actionable recommendations and partner with business leaders to prioritize and implement improvements.
  • Data-Driven Performance Measurement: Create and maintain frameworks for tracking and analyzing business performance across the mortgage lifecycle. Develop metrics, dashboards, and automated reports that enable stakeholders to monitor progress and act on insights.
  • SQL-Based Analytics Solutions: Author and optimize complex T-SQL code to extract, transform, and analyze large volumes of production data. Develop stored procedures and workflows that operationalize model outputs and support business monitoring.
  • Python Modeling and Automation: Write Python scripts to perform statistical analysis, automate data pipelines, and integrate machine learning workflows. Leverage Python for data preparation, model training, and result generation.
  • Model Validation and Monitoring: Rigorously test, validate, and monitor model performance over time. Develop processes to recalibrate or enhance models as needed to maintain accuracy and business alignment.

What You'll Need:
  • Quantitative Modeling Expertise: 5+ years of experience developing statistical, econometric, or machine learning models in a business environment.
  • Advanced SQL Skills: Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server.
  • Python Proficiency: Strong experience with Python for data analysis, statistical modeling, and process automation.
  • Analytical Problem Solving: Ability to independently translate complex business problems into quantitative solutions. Skilled at designing experiments, validating hypotheses, and communicating findings clearly.
  • Business Acumen: Experience evaluating business metrics and KPIs to identify revenue and profit improvement opportunities, operational inefficiencies, and performance trends.
  • College degree preferred

High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).
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**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **
Compensation:
Annual compensation for this position generally ranges from $130,000 - $150,000.
Benefits:
• 401(k)
• Dental insurance
• Disability insurance
• Employee discounts
• Health insurance
• Life insurance
• Paid time off
• 12 paid holidays per year
• Paid training
• Referral program
• Vision insurance
Supplemental pay types:
• Referral bonuses
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act Disclosure Acknowledgment
Employment Applicants, New Hires, and Employees Residing in California
AmeriSave Mortgage Corporation's Privacy Policy Statement ("Policy") can be reviewed here: www.amerisave.com/privacy-policy
AmeriSave Mortgage Corporation's California Consumer Privacy Act ("CCPA") Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/
When AmeriSave's Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.