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Quantitative Research Manager Jobs in Ohio (NOW HIRING)

Quantitative Analyst

Columbus, OH ยท On-site

$77K - $90K/yr

The Quantitative Analyst will manage and support high-impact research projects, primarily focusing on survey design, consumer data analysis, and the synthesis of quantitative data to inform key ...

Conduct qualitative and quantitative research to support policy review, advocacy, and strategy ... Management, policymakers, and external stakeholders. * Track global and regional policy ...

Conduct qualitative and quantitative research to support policy review, advocacy, and strategy ... Management, policymakers, and external stakeholders. * Track global and regional policy ...

Design, execute, and manage qualitative and quantitative research studies from initial planning through analysis and reporting. * Develop customer, market, and user insights that support product ...

Design, execute, and manage qualitative and quantitative research studies from initial planning through analysis and reporting. * Develop customer, market, and user insights that support product ...

Skills in qualitative and quantitative research methods. * Ability to proactively manage and drive projects. Experience: Research experience from PhD program, required. Physical Requirements:

Skills in qualitative and quantitative research methods. * Ability to proactively manage and drive projects. Experience: Research experience from PhD program, required. Physical Requirements:

Quant Analytics Manager

Columbus, OH ยท On-site

$118K - $175K/yr

As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to ... Lead quantitative research studies, including survey and big data analysis * Collaborate with ...

As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to ... Lead quantitative research studies, including survey and big data analysis * Collaborate with ...

As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to ... Lead quantitative research studies, including survey and big data analysis * Collaborate with ...

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Quantitative Research Manager information

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

To thrive as a Quantitative Research Manager, you need advanced expertise in statistics, data analysis, research design, and a relevant degree such as in mathematics, statistics, economics, or a related field. Proficiency with statistical software (like R, Python, or SPSS), data visualization tools, and often certifications in analytics or project management are highly valued. Exceptional leadership, strategic thinking, and strong communication skills are crucial for managing teams and presenting findings to stakeholders. These skills and qualities are essential to ensure accurate insights, drive data-informed decisions, and efficiently guide research projects to completion.

How does a quantitative research manager typically collaborate with cross-functional teams within an organization?

As a Quantitative Research Manager, you will frequently collaborate with cross-functional teams such as product development, marketing, data science, and executive leadership. Your role involves interpreting complex data, designing research methodologies, and translating findings into actionable insights. Effective communication is essential, as you'll be tasked with presenting statistical analyses and recommendations to both technical and non-technical stakeholders. This collaboration helps ensure that research initiatives align with broader business objectives and drive informed decision-making.

What does a quantitative research manager do?

A Quantitative Research Manager oversees the design, execution, and analysis of research projects that rely on numerical data. They manage teams of analysts or researchers, ensuring that statistical methods and analytical models are properly applied to generate actionable insights for business or academic purposes. Their responsibilities include developing research methodologies, managing data collection, interpreting results, and presenting findings to stakeholders. They often work closely with other departments to inform strategic decisions using data-driven evidence.

What is the difference between Quantitative Research Manager vs Data Analyst?

AspectQuantitative Research ManagerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Economics, or related field; experience in research methodsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch teams, corporate or academic settings, focus on designing studiesData-driven departments, focus on data interpretation and reporting
Employer & Industry UsageMarket research firms, finance, consulting, academiaBusiness, marketing, healthcare, technology sectors
Common Search & Comparison IntentUnderstanding roles, responsibilities, and qualificationsComparing data analysis tasks and skills

The main difference is that Quantitative Research Managers oversee research projects, design studies, and lead teams, while Data Analysts focus on analyzing data, creating reports, and supporting decision-making. Both roles require strong analytical skills and familiarity with statistical tools, but the manager role emphasizes leadership and research design.

What are the most commonly searched types of Quantitative Research jobs in Ohio?

The most popular types of Quantitative Research jobs in Ohio are:

What are popular job titles related to Quantitative Research Manager jobs in Ohio?

For Quantitative Research Manager jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Quantitative Research Manager jobs?

Cities in Ohio with the most Quantitative Research Manager job openings:

Vice President, Quantitative Researcher, Evergreen Portfolio Management

HarbourVest

Toronto, OH โ€ข Hybrid

$210K - $280K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago


Job description

Job Description Summary

For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.

In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.

We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.

HarbourVest is an equal opportunity employer.

This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.

As a member of the Quantitative Investment Sciences (QIS) team, the Vice President, Quantitative Researcher will work with a team of experienced researchers to develop quantitative modeling and analysis for management of Private Equity Evergreen Portfolio. This motivated individual will be dedicated to supporting and collaborating with HarbourVest's Evergreen fund team on pipeline monitoring, liquidity management, portfolio construction, and stress testing while generating quantitative insights for client engagements and fundraising. Projects will involve leveraging large proprietary private market datasets and statistical models to systematize and enhance portfolio management decision making for these sophisticated fund structures.

This is an opportunity to join a highly diverse and growing team passionate about pioneering the application of quantitative research, ML/AI and data science to private markets investing and risk management.

The ideal candidate is someone with:
  • Passion for financial markets and investing, quantitative research with complex datasets, and demonstrated intellectual curiosity.

  • Innovative and entrepreneurial attitude. Comfortable taking initiative.

  • Excels at clearly and effectively communicating quantitative insights.

  • Strives in a collegial and collaborative team-oriented environment.

  • Results and detail oriented.

  • Willing to work in a position with uneven and high priority project work.

What you will do:

Conducting quantitative modeling and analysis to support management of evergreen private equity portfolios (80%)

  • You will play a lead role in leveraging proprietary private markets datasets and models to characterize market risk/return relationships, explore liquidity and market stress events, and develop strategies to optimize liquidity management and fund performance.

  • Accountable for communicating analysis results and actionable insights to the Evergreen fund team.

  • Support and drive adoption and integration of quantitative models to enhance portfolio construction and management processes.

Responding to ad-hoc quantitative analysis requests (20%)

  • Supporting client facing teams in conducting ad-hoc analysis and responding to client requests.

What you bring:
  • Experience in the financial services industry in a quantitative role is required; however, prior private markets experience is not required.

  • Demonstrate rigorous statistical analysis and experience analyzing large datasets.

  • Strong Python programming skills (including numerical, statistical modeling and visualization libraries) with SQL experience is required.

  • Prior experience in Monte-Carlo simulation methods is preferred

  • Ability to learn and enhance an existing code base is required

  • Prefer prior independent research experience in academia or industry

Education:
  • Bachelor of Arts (B.A) or Bachelor of Science (B.S.) required

  • Master's degree or Ph.D. in a technical field preferred

Experience:
  • 3+ years of experience in a Quantitative Finance role

#LI-Hybrid

Base Salary Range

$210,000.00 - $280,000.00

This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.