1

Quantitative Associate Jobs in Fort Collins, CO (NOW HIRING)

Quantitative Associate information

See Fort Collins, CO salary details

$30.7K

$89.7K

$144.5K

How much do quantitative associate jobs pay per year?

As of Aug 31, 2026, the average yearly pay for quantitative associate in Fort Collins, CO is $89,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,600.00 and $117,800.00 per year, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Quantitative Associate jobs in Fort Collins, CO?

For Quantitative Associate jobs in Fort Collins, CO, the most frequently searched job titles are:

What job categories do people searching Quantitative Associate jobs in Fort Collins, CO look for?

The top searched job categories for Quantitative Associate jobs in Fort Collins, CO are:

What cities near Fort Collins, CO are hiring for Quantitative Associate jobs?

Cities near Fort Collins, CO with the most Quantitative Associate job openings:

Infographic showing various Quantitative Associate job openings in Fort Collins, CO as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $89,660 per year, or $43.1 per hour.

Open Rank - Professor of Biostatistics

Greeley, CO

Full-time

Re-posted 10 days ago


Job description

To ensure full consideration, applications must be received by 11:59pm (MT) on 05/17/2026.

Position Summary:

UNC COM seeks a collaborative, service-oriented faculty Biostatistician at the rank of Assistant, Associate, or Full Professor to provide high-quality statistical and data-science expertise supporting the College's curriculum, faculty scholarship, and student outcomes, while also serving as a key contributor to accreditation analytics and institutional reporting. In this role, the Biostatistician will partner with Academic Affairs, assessment and curriculum leadership, faculty investigators, and student support teams to design and implement analytic strategies, ensure data integrity and governance, and translate findings into actionable insights that advance continuous quality improvement and strengthen compliance readiness.

Job Duties:

Academic Assessment, Curriculum & Learner Analytics
o   Design and implement analytic plans for course and program evaluation, including exam/item analysis, outcomes attainment, and longitudinal performance tracking across the preclinical and clinical curriculum.
o   Develop repeatable reporting processes and dashboards for curriculum committees and course directors (e.g., trend analyses, cohort comparisons, reliability/validity indicators, learning outcomes mapping analytics).
o   Support continuous quality improvement (CQI) by identifying data signals, quantifying impact of curricular changes, and recommending measurement strategies aligned to program outcomes.

Faculty Teaching & Educational Support Responsibilities
o   Teach and/or co-teach assigned content within the UNC COM curriculum, with primary focus on biostatistics, epidemiology, population health, and public/public health concepts (e.g., study design, probability, inference, regression, screening/test characteristics, bias/confounding, and interpretation of medical literature).
o   Develop and deliver learning activities (lectures, small groups, team-based learning, case-based sessions, workshops) that integrate statistical reasoning into clinical and population health decision-making.
o   Create and refine assessment items (quizzes, exams, OSCE/CPX adjuncts, assignments) aligned with course objectives and program competencies; contribute to blueprinting and standard-setting activities as needed.
o   Collaborate with course directors and curriculum committees to align biostatistics and population/public health content vertically and horizontally across the curriculum, ensuring appropriate sequencing, integration, and competency progression.

Accreditation Data, Compliance Reporting & CQI Infrastructure
o   Serve as a primary analytic resource for accreditation-related data requests and reporting (e.g., annual updates, self-study exhibits, evidence tables, outcomes dashboards), ensuring accuracy, traceability, and documentation.
o   Build and maintain an "accreditation evidence" data pipeline: standardized definitions, data dictionaries, audit trails, version control, and clear source of all submitted metrics.
o   Coordinate with institutional partners (Institutional Research, Registrar, IT, Student Affairs, Finance, HR) to compile, validate, and reconcile datasets used in accreditation and internal governance.

Faculty & Student Research Support (Consultation Model)
o   Provide statistical consultation to faculty and students for scholarly projects (study design, power/sample size, data management plans, modeling strategies, interpretation, and reporting).
o   Assist with IRB- and protocol-related analytic sections, including statistical methods narratives for manuscripts, abstracts, and grant submissions.
o   Promote reproducible research practices (analysis plans, code review, documentation standards, and appropriate use of statistical software).

Data Governance, Quality, and Operational Excellence
o   Establish and enforce analytic standards (naming conventions, reproducible workflows, secure data handling, and role-based access).
o   Create user-friendly templates (analysis request intake forms, study analysis plans, reporting calendars, and standard output formats).
o   Communicate findings effectively to non-technical stakeholders via concise narratives, visualizations, and executive summaries.

Minimum Qualifications:

o   Master's degree (or higher) in Biostatistics, Statistics, Data Science, Epidemiology, or a closely related quantitative discipline.
o   Demonstrated experience conducting applied statistical analyses in academic health sciences, higher education assessment, healthcare, or related settings.
o   Proficiency with statistical programming and best practices in reproducible analytics.
o   Demonstrated ability to translate complex analyses into clear, decision-relevant conclusions for diverse stakeholders.
o   Strong interpersonal skills; ability to manage multiple concurrent projects with appropriate prioritization and customer-service orientation.

Preferred Qualifications
o   Experience supporting accreditation, regulatory reporting, outcomes assessment, or CQI analytics (medical education experience strongly preferred).
o   Experience with psychometrics/educational measurement.
o   Experience designing dashboards and data pipelines using business intelligence tools.
o   Familiarity with learning management system (LMS) data, survey platforms, and student information systems; ability to integrate multi-source datasets.
o   Publication record and/or demonstrated history of collaborative scholarship and statistical consultation.