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Associate Quantitative Analyst Jobs in Ohio (NOW HIRING)

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and ...

Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to ...

Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to ...

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Associate Quantitative Analyst information

What does an associate quantitative analyst do?

An Associate Quantitative Analyst is responsible for applying mathematical, statistical, and analytical methods to financial and risk management problems. Their tasks often include building financial models, analyzing large datasets, and supporting senior analysts or portfolio managers with data-driven insights. They typically use programming languages like Python, R, or MATLAB to develop algorithms and test investment strategies. Associate Quantitative Analysts play a crucial role in helping organizations make data-informed decisions in areas such as trading, asset management, and risk assessment.

What are the key skills and qualifications needed to thrive as an associate quantitative analyst?

To thrive as an Associate Quantitative Analyst, you need strong analytical skills, advanced proficiency in mathematics and statistics, and typically a degree in a quantitative field such as mathematics, statistics, finance, or engineering. Familiarity with programming languages like Python or R, experience with statistical modeling tools, and knowledge of data analysis platforms are commonly required. Attention to detail, problem-solving ability, and effective communication skills help you interpret data and collaborate with team members. These skills are crucial for developing accurate models, providing actionable insights, and supporting data-driven decision-making in complex financial environments.

What are some common challenges an associate quantitative analyst faces when transitioning from academia to industry?

One common challenge for Associate Quantitative Analysts moving from academia to industry is adapting to the fast-paced, results-driven environment where deadlines and business impacts are prioritized over theoretical exploration. Unlike academic research, industry projects often require quick, practical solutions and effective communication with non-technical stakeholders. Additionally, analysts may need to balance multiple projects simultaneously and collaborate closely with teams such as risk management, IT, and trading desks. Developing strong project management and communication skills can help ease this transition.

What is the difference between Associate Quantitative Analyst vs Quantitative Analyst?

AspectAssociate Quantitative AnalystQuantitative Analyst
Required CredentialsBachelor's degree in finance, mathematics, or related field; some roles may require a master'sBachelor's or master's degree in quantitative fields; often more experience required
Work EnvironmentEntry-level position in finance or investment firms, supporting senior analystsMid-level role, involved in developing models and strategies in finance firms
Employer & Industry UsageCommon in asset management, hedge funds, investment banksUsed across similar financial institutions, often as a step toward senior roles

The Associate Quantitative Analyst typically holds an entry-level position with a focus on supporting quantitative teams, while a Quantitative Analyst usually has more experience and takes on more complex modeling tasks. Both roles are essential in financial analysis, but the associate role often serves as a stepping stone to becoming a full Quantitative Analyst.

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

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

What job categories do people searching Associate Quantitative Analyst jobs in Ohio look for?

The top searched job categories for Associate Quantitative Analyst jobs in Ohio are:

What cities in Ohio are hiring for Associate Quantitative Analyst jobs?

Cities in Ohio with the most Associate Quantitative Analyst job openings:

Senior Associate, Quantitative Researcher, Private Equity Co-Investments (Boston, London or Dublin)

HarbourVest

London, OH โ€ข Hybrid

$180K - $210K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 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, this Senior Associate, Quantitative Researcher will work with a team of experienced researchers to develop and conduct quantitative modeling and analysis of Private Equity Co-Investment opportunities. This motivated individual will be dedicated to supporting HarbourVest's Global Direct Co-Investment strategy team on active investment diligence, pipeline monitoring, portfolio construction, and generating quantitative insights for client engagements and fundraising. Our projects harness large proprietary private market datasets and statistical models to produce insights that enhance a historically fundamental research-based investment process.

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/statistical analysis of private markets and investment opportunities (80%)

  • You will play a lead role in analyzing proprietary private markets datasets and models to characterize market risk/return relationships, evaluate investment opportunities in the private equity co-investment market to inform investment selection and due diligence.

  • Diligently perform data exploration and visualization to test investment team hypotheses.

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

  • Support and drive adoption and integration of QIS models with fundamental analysis conducted by deal teams.

  • Seek to apply new models and techniques (AI/ML) to advance the use of quantitative methods in the investment process.

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 quantitative equity is required; prior experience with bottoms-up financial modeling is preferred.

  • Prior private markets experience is not required.

  • Demonstrate rigorous statistical analysis and experience analyzing large datasets.

  • Strong programming skills, preferably in Python (including numerical, statistical modeling and visualization libraries) and SQL.

  • Prefer prior independent research experience (academic thesis or industry research)

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 (for US-based employees)

$180,000.00 - $210,000.00

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.