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Investment Science Jobs (NOW HIRING)

Junior Quant Investment Engineer

Boston, MA ยท Hybrid

$105K - $115K/yr

We are looking for a Quantitative Investment Engineer who has a passion for data, technology, automation, and an understanding of finance to join our Quantitative Investment Science (QIS) team. As a ...

Investment Analyst

New York, NY ยท On-site

$71K - $109K/yr

Background in life sciences (biology, biochemistry, pharmacology, or related field) sufficient to understand the scientific and technical basis of drug development programs and investment ...

Investment Data Scientist

New York, NY ยท On-site

$190K - $220K/yr

Data Science Job Function: Investor Services Date: Monday, April 27, 2026 Position Summary Join our dynamic Investment Data Science Team as a Data Scientist and immerse yourself in the heart of the ...

Director, Data Engineering

Boston, MA ยท Hybrid

$220K - $230K/yr

Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires a proven history of ...

Senior Investment Associate

Pasadena, CA ยท On-site

$120K - $142K/yr

Caltech is a world-renowned science and engineering institute that marshals some of the world ... Job Summary The Senior Investment Associate ("Senior Associate") is an important role at the ...

Investment Associate GridStor develops, constructs, and operates battery energy storage projects ... Bachelor's degree in computer science, data science, engineering, or other quantitative field, with ...

... science, computer science, or other quantitative backgrounds are preferred 1 to 7 years of experience; investment banking, private equity, real assets, or highly analytical roles are strongly ...

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Investment Science information

See salary details

$22K

$97.1K

$213.5K

How much do investment science jobs pay per year?

As of Jun 5, 2026, the average yearly pay for investment science in the United States is $97,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $117,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Investment Science, and why are they important?

To thrive in Investment Science, you need strong quantitative analysis, financial modeling, and data interpretation skills, often supported by a degree in finance, mathematics, economics, or a related field. Proficiency with tools like Excel, Python, MATLAB, and financial databases such as Bloomberg or FactSet, as well as certifications like CFA or FRM, is highly valuable. Critical thinking, attention to detail, and effective communication are vital soft skills for translating complex data into actionable investment insights. These skills ensure accurate risk assessment, informed decision-making, and clear communication with stakeholders in a highly competitive industry.

What is investment science?

Investment science is the study of how individuals and institutions allocate resources over time under conditions of uncertainty. It combines principles from economics, finance, mathematics, and statistics to analyze investment decisions, optimize portfolios, and assess risk. Professionals in this field use quantitative models to guide strategies for stocks, bonds, derivatives, and other financial assets. Investment science is crucial for making informed financial decisions and improving returns while managing risk.

What is the difference between Investment Science vs Financial Analyst?

AspectInvestment ScienceFinancial Analyst
Required CredentialsDegree in finance, economics, or related fields; often advanced certifications like CFABachelor's degree in finance, accounting, or related fields; CFA preferred but not always required
Work EnvironmentQuantitative, research-focused roles in investment firms, hedge funds, or asset managementAnalysis and reporting roles in banks, corporations, or investment firms
Industry UsagePrimarily in investment management, quantitative research, and asset allocationInvolved in financial planning, reporting, and market analysis

Investment Science and Financial Analyst roles share overlapping skills in finance and analysis but differ mainly in focus. Investment Science emphasizes quantitative modeling and research for investment strategies, while Financial Analysts focus on evaluating financial data for decision-making. Both roles are vital in finance but serve different functions within the industry.

How does an Investment Science professional typically collaborate with portfolio managers and data analysts within a firm?

Investment Science professionals often act as a bridge between quantitative research and practical portfolio management. They work closely with portfolio managers to translate complex data analyses and models into actionable investment strategies. Regular collaboration with data analysts ensures access to high-quality, relevant data for developing and testing predictive models. Effective communication and teamwork are essential, as Investment Science experts must clearly explain their findings to both technical and non-technical stakeholders to inform decision-making and optimize investment performance.
More about Investment Science jobs
What states have the most Investment Science jobs? States with the most job openings for Investment Science jobs include:
Infographic showing various Investment Science job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $97,073 per year, or $46.7 per hour.
Junior Quant Investment Engineer

Junior Quant Investment Engineer

HarbourVest

Boston, MA โ€ข Hybrid

$105K - $115K/yr

Full-time

Medical, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


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.

We are looking for aQuantitative Investment Engineerwho has a passion for data, technology, automation, and an understanding of finance to join our Quantitative Investment Science (QIS) team. As a member of the team, you will play a key role in developing applications, and expanding our dataset by collecting clarifying, and translating business requirements into development specifications, conceptual designs, and working prototypes. You will work closely with engineers, researchers, QA, investment professionals, vendors, and IT teams to advance complete end-to end-solutions within our cloud-based data analytics platform, a strategic asset that drives data-driven research to enhance investment decision-making within private markets. You should thrive in an evolving, fast-paced environment, and bring a work style marked by high energy, flexibility, integrity, quick learning, and collaboration. This is a great opportunity to be a part of an industry leading Quant Investment team that is building a one-of-a-kind platform in private markets.

The ideal candidate is someone who:
  • Is curious and willing to keep asking "why?", continually learning about key business processes to help identify potential improvements.

  • Has strong analytical and problem solving skills, the skill to dissect and detail complicated situations and propose creative process & technical solutions.

  • Possesses excellent facilitation, interpersonal skills, and can communicate optimally at all levels, in all forms, and to all functional groups.

  • Can facilitate multiple intricate projects at a given time.

  • Understands how to elicit and document requirements and issues into appropriate contexts.

  • Has experience with investment data management especially IBOR or other book of records systems.

  • Is familiar and experienced with agile software development methodologies and tools.

What you will do:
  • Capture business requirements, translating them into an easy to implement technical solutions, integrations, system designs, tests, transformations, and reports.

  • Build solid working relationships with investment teams, platform users, developers, vendors and suppliers.

  • Create and update project artifacts such as task boards, use cases, application documentation, release notes, and technical writeups.

  • Identify, document, and facilitate the onboarding of new data sets.

  • Develop quick functional prototypes, identify manual and automated tests on data and functionality using SQL, Python and other relevant technologies.

  • Work with internal data sources and external vendors to understand and remedy data exceptions and irregularities.

  • And other responsibilities as required

What you bring:
  • High energy and collaborative work style

  • Flexibility and willingness to tackle a broad range of analysis, testing, and support assignments

  • Proficient in SQL and data analysis skills, to support system design and testing

  • Data modeling and design understanding, including conceptual and logical modeling

  • Experience in onboarding new, large datasets, with structured and unstructured data while validating quality

  • Proficient in Python, to support quick prototypes

  • A track record of completed high-intensity, high-complexity projects

  • Experience with business intelligence tools such as Tableau, Power BI, or equivalent

  • Understanding of DevOps, CI/CD practices, and tools

Education Preferred
  • Bachelor of Arts (B.A), or equivalent experience

Experience
  • 1-3 Years of business analyst experience in the investment management or FinTech industry is preferred

#LI-Hybrid

Base Salary Range

$105,000.00 - $115,000.00

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.