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Quantitative Associate Jobs in Seattle, WA (NOW HIRING)

As an Associate you will focus on learning and contributing to client engagement, building ... quantitative fields of study may be considered Travel Requirements Up to 60% Job Posting End Date ...

New

We are looking for a resource planning & analytics associates. Responsibilities - Develop and ... Qualifications Minimum Qualifications - Strong quantitative and analytical skills with the ability ...

We are looking for a resource planning & analytics associates. Responsibilities - Develop and ... Qualifications Minimum Qualifications - Strong quantitative and analytical skills with the ability ...

Showing results 41-60

Quantitative Associate information

See Seattle, WA salary details

$35.3K

$103.1K

$166.2K

How much do quantitative associate jobs pay per year?

As of Aug 13, 2026, the average yearly pay for quantitative associate in Seattle, WA is $103,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $135,400.00 per year, depending on experience, location, and employer.

How does a quantitative associate typically collaborate with traders and technology teams in a financial firm?

Quantitative Associates often work closely with traders to understand their strategies and provide data-driven insights that improve trading outcomes. They also collaborate with technology teams to implement models into production systems, ensuring that algorithms are both effective and efficient. This cross-functional teamwork requires strong communication skills and a willingness to learn from professionals in different disciplines. Regular meetings, joint problem-solving sessions, and collaborative project management tools are commonly used to keep everyone aligned and drive successful outcomes.

What is the difference between Quantitative Associate vs Quantitative Analyst?

AspectQuantitative AssociateQuantitative Analyst
Required CredentialsTypically a master's degree in finance, mathematics, or related field; strong programming skillsSimilar educational background; often requires advanced quantitative skills and certifications
Work EnvironmentFinancial firms, hedge funds, asset management; collaborative teamsSame as Quantitative Associate; focused on model development and data analysis
Employer & Industry UsageCommon in investment banks, hedge funds, asset managersUsed interchangeably in many firms; both roles involve quantitative modeling
Search & Comparison IntentHigh overlap; both roles involve quantitative analysis and modeling

Both Quantitative Associates and Quantitative Analysts work in similar environments, requiring advanced degrees and strong analytical skills. The roles often overlap in responsibilities, focusing on developing models, analyzing data, and supporting trading or investment decisions. The main difference may lie in job titles used by different firms, but their core functions are quite comparable.

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

To thrive as a Quantitative Associate, you need strong quantitative analysis skills, advanced knowledge of mathematics and statistics, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency in programming languages like Python or R, data analysis tools, and experience with financial modeling platforms are commonly required. Attention to detail, problem-solving abilities, and effective communication help you translate complex data insights into actionable business strategies. These skills are critical for developing accurate models, managing risk, and supporting data-driven decision-making in financial environments.

What is a quantitative associate?

Quantitative Associates are professionals who use mathematical, statistical, and computational techniques to analyze financial data and develop models for decision-making in fields such as banking, investment, and risk management. They often support senior quantitative analysts or traders by implementing algorithms, conducting data analysis, and providing insights to improve business strategies. These roles typically require strong skills in programming, mathematics, and finance, and are commonly found in investment banks, hedge funds, and financial technology firms.
What are popular job titles related to Quantitative Associate jobs in Seattle, WA? For Quantitative Associate jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Quantitative Associate jobs in Seattle, WA look for? The top searched job categories for Quantitative Associate jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Quantitative Associate jobs? Cities near Seattle, WA with the most Quantitative Associate job openings:
Infographic showing various Quantitative Associate job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $103,082 per year, or $49.6 per hour.

AML/Sanctions- Data Scientist- Associate

Pwc

Seattle, WA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Banking and Capital Markets

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
As part of the Financial Crime Unit team you will apply analytical methods to complex datasets leveraging SQL and Python to tackle financial crime challenges. As an Associate you will focus on learning and contributing to client engagement, building meaningful connections while navigating complex situations to enhance your personal brand and technical knowledge.
Responsibilities
- Utilize analytical techniques to address financial crime issues
- Engage with clients to foster meaningful professional relationships
- Apply SQL and Python for data analysis and problem-solving
- Explore machine learning, NLP, and LLMs in relevant projects
- Contribute to team efforts while enhancing personal technical skills
- Adapt to complex situations and develop strategic insights
- Participate in research to support project objectives
- Uphold professional standards and ethical guidelines
What You Must Have
- Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
- 1 year of experience in data science/machine learning
What Sets You Apart
- Interest in financial crime, AML, and fraud analytics
- Skilled in SQL for complex data queries
- Advanced Python skills for data manipulation
- Experience building and deploying machine learning models
- Understanding of machine learning concepts and algorithms
- Comfort working with structured and unstructured data
- Familiarity with agentic AI frameworks
- Hands-on experience with CI/CD pipelines for data science
- Proficiency in SQL and Python
- Basic understanding of machine learning algorithms and evaluation metrics
- Exposure to frameworks such as scikit-learn, XGBoost, Hugging Face Transformers
- Other quantitative fields of study may be considered

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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