quantitative research analyst

Origin Harbor Capital Solutions

<div><div>Summary</div><div>
The Multi-Asset Solutions Team (MAST) manages a suite of active investment ETFs and delivers standard and customized multi-asset portfolio solutions across approximately $5 billion in AUM. Portfolios span U.S. and international equities, fixed income, and commodities.</div><div></div><div>
MAST&rsquo;s investment process combines systematic quantitative models with a qualitative investment overlay. The Quantitative Research function is central to this process, designing, maintaining, and enhancing the models that translate market and macroeconomic information into portfolio allocations. These include:</div><ul><li>
Market regime and business-cycle detection models</li></ul><ul><li>
State-space and signal-aggregation frameworks</li></ul><ul><li>
Bespoke portfolio optimization engines</li></ul><ul><li>
Scenario analysis and Monte Carlo simulations for outcome evaluation</li></ul><div></div><div>
The Quantitative Research Analyst plays a hands-on role in both portfolio production and model development, working closely with portfolio managers and the trade operations to ensure research insights are translated into robust, implementable portfolios.
</div><div></div><div>Key Responsibilities</div><div>
The Quantitative Analyst will:</div><ul><li>
Own the day-to-day operation of MAST&rsquo;s systematic portfolio process</li></ul><ul><li>
Produce optimized and implementation-ready portfolios for PM review</li></ul><ul><li>
Apply and document investment overrides, translating model output into tradeable portfolios</li></ul><ul><li>
Conduct independent research to improve signals, models, and portfolio construction</li></ul><div></div><div>
This role sits at the intersection of research, portfolio management, and implementation, and requires both strong quantitative skills and sound investment judgment.</div><div></div><div>
Portfolio Production &amp; Implementation</div><ul><li>
Run and maintain the systematic portfolio construction process</li></ul><ul><li>
Generate optimized and implementation portfolios and explain key drivers of allocations</li></ul><ul><li>
Partner with PMs to assess model output, apply overrides, and prepare portfolios for execution</li></ul><ul><li>
Ensure consistency, accuracy, and robustness of production outputs</li></ul><div></div><div>
Research &amp; Model Development</div><ul><li>
Research and develop quantitative methods for asset allocation, regime modeling, and portfolio optimization</li></ul><ul><li>
Enhance existing models and analytics through data, methodology, or implementation improvements</li></ul><ul><li>
Perform back-testing, scenario analysis, and sensitivity studies</li></ul><ul><li>
Conduct ad hoc quantitative analyses to support investment decisions</li></ul><div></div><div>
Key Behavioral Expectations</div><div>
Drives for Results</div><ul><li>
Demonstrates ownership, accountability, and urgency</li></ul><ul><li>
Delivers high-quality output aligned with Harbor&rsquo;s investment objectives</li></ul><div></div><div>
Unleashes Innovation</div><ul><li>
Actively explores new ideas, techniques, and data sources</li></ul><ul><li>
Challenges existing approaches while maintaining discipline and rigor</li></ul><div></div><div>
Communication &amp; Engagement</div><ul><li>
Clearly articulates complex ideas and recommendations</li></ul><ul><li>
Engages effectively with PMs, peers, and cross-functional partners</li></ul><div></div><div>
Minimum Qualifications</div><ul><li>
Bachelor&rsquo;s degree in a quantitative discipline (e.g., data science, finance, economics, mathematics, statistics, physics); advanced degree preferred</li></ul><ul><li>
Strong proficiency in Python; experience with databases and data pipelines preferred</li></ul><ul><li>
The ideal candidate would have a solid understanding of financial markets as well as strong quantitative (data science) background. However, a candidate with either skill will be considered if they have a desire to learn the other</li></ul><ul><li>
3&ndash;5 years of relevant investment or quantitative research experience preferred</li></ul><ul><li>
Progress toward the CFA designation is a plus</li></ul><div></div><div>
Knowledge, Skills, &amp; Abilities Required</div><div>
The ideal candidate is intellectually curious, outcome-driven, and able to exercise sound judgment in ambiguous situations. They are comfortable working across multiple initiatives and functions in a fast-paced investment environment.</div><ul><li>
Strong analytical and quantitative reasoning skills</li></ul><ul><li>
Experience with advanced statistical, machine learning or data science methods preferred</li></ul><ul><li>
Ability to translate quantitative output into investment-relevant insights</li></ul><ul><li>
Comfortable working independently and collaboratively in a fast-paced investment environment
</li></ul><div></div><div>Preferred Skills</div><ul><li>
Experience with large, complex financial or macroeconomic datasets</li></ul><ul><li>
Familiarity with portfolio analytics, factor models, and back-testing frameworks</li></ul><ul><li>
Experience with relational databases (e.g., SQL Server, Postgres)</li></ul><ul><li>
Interest in building production-quality research tools and APIs</li></ul><div></div><div>
Compensation Pay Range: This position offers a competitive base salary range of $170,000&ndash;$200,000, commensurate with experience and qualifications.</div></div>

Quantitative Research Analyst

Plutus21

<div><h2 class="jobSectionHeader"><b>Job Summary:</b></h2><p>
Plutus21 is looking for a Quantitative Researcher to discover, test, and improve systematic alpha signals and portfolio construction for low-frequency equity strategies (typically daily to monthly horizons). This role is designed for exceptional quantitative thinkers coming from Physics, Mathematics, Statistics, Engineering, or other rigorous fields.</p><p><b>
Key Responsibilities:</b><br>
<b><i>Research and hypothesis generation:</i></b></p><ul><li>
Translate investment ideas into testable hypotheses with clear metrics and failure criteria</li><li>
Build simple baselines first, then iterate toward stronger models only when justified</li><li>
Data and features (research-grade)</li><li>
Work with panel/time-series equity data and build features with strict as-of availability</li><li>
Implement careful data checks (missingness, outliers, corporate actions, calendar alignment)</li></ul><p><b><i>
Evaluation and robustness:</i></b></p><ul><li>
Design validation protocols appropriate for time series (walk-forward, rolling windows, cross-sectional splits)</li></ul><ul><li>
Detect and prevent common research pitfalls: look-ahead bias, leakage, overfitting, multiple comparisons</li><li>
Perform robustness analysis: turnover, drawdowns, concentration, regime sensitivity, stability across time and cohorts</li><li>
Backtesting and portfolio construction</li><li>
Implement or extend low-frequency backtests for signals and portfolios</li><li>
Model basic frictions realistically (transaction costs, slippage assumptions, liquidity/turnover constraints)</li><li>
Collaborate with engineering/trading to productionize the strongest research findings</li></ul><p><b><i>
Communication and collaboration</i></b></p><ul><li>
Write clear research memos: what you tried, what worked, what didnt, what you recommend next</li><li>
Present results transparently, including uncertainty, limitations, and risk considerations</li></ul><p><b>
Qualifications (Core):</b></p><ul><li>
Strong quantitative foundation in probability/statistics and at least one of: linear algebra, optimization, numerical methods</li><li>
Ability to design experiments and reason about measurement (baselines, controls, uncertainty, sanity checks)</li><li>
Ability to write working analysis code in Python (preferred) or another language, and communicate code/results clearly</li><li>
Comfort with real-world messy datasets and non-stationary behavior</li><li>
Strong written communication and intellectual honesty (you can say this is inconclusive and explain why)</li><li>
Experience We Value (Any Combination)</li><li>
Prior research experience (academic, industry, independent) demonstrating end-to-end ownership</li><li>
Evidence of strong software fundamentals even without formal CS training: readable code, modularity, reproducibility</li><li>
Work involving time-series or observational data where leakage is a risk (forecasting, causal inference, experiments)</li></ul><p><b>
Nice to Have (Not Required):</b></p><ul><li>
Any exposure to markets, equities, factor models, or portfolio construction (we can teach this)</li><li>
Familiarity with common research tools: numpy/pandas/scipy/statsmodels/sklearn, Jupyter, Git</li><li>
Experience with simulation/Monte Carlo, Bayesian methods, or causal inference</li></ul></div><p></p>

Quantitative Researcher

BlackRock

<div><div><div><div><div>Locations: <b>Gurgaon, India</b></div></div></div></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p><p><b>
Team Overview</b></p><p>
BlackRock Global Markets (BGM) brings together BlackRock&rsquo;s global trading, financing and financial resource management, securities lending, ETF markets, cash management, and index investments businesses to deliver investment, trading, financing, and risk management excellence for clients. Markets Research is a team within the Global Markets group which conducts cutting edge market microstructure research, performs pre- and post-trade analysis and provides analytics for its stakeholders. In this function Markets Research cuts across the regions and asset classes. It partners with Trading Data, Analytics, Trading Desks as well as the active and passive investment teams to deliver best execution and superior investment performance.</p><p>
The Markets Research team is seeking to hire a Quantitative Analyst located in Gurgaon. We are a small, close-knit team with a collegiate culture that values openness, creativity and attention to detail. The role involves working closely with the other team members to contribute to the team&rsquo;s research and enhance the quality of its analytics. The successful candidate will possess strong data science and research skills in their field and a willingness to apply their skills in a financial markets and trading context. The role offers excellent opportunities to build knowledge of trading market structure across asset classes and collaborate with researchers, traders and portfolio managers from fundamental, model-based and passive investment teams.</p><p><b>
Responsibilities:</b></p><ul><li><p>
Perform data analysis, identify outliers, spot trends, and build analytics models using various types of financial data</p></li><li><p>
Apply both traditional econometrics tools and machine learning techniques to solve real world problems in trading</p></li><li><p>
Get familiar with and assist in market microstructure and execution research</p></li><li><p>
Conduct pre- and post-trade analysis in collaboration with other trading researchers globally</p></li><li><p>
Recalibrate, maintain and improve the current suite of models and automated trading processes</p></li><li><p>
Stay informed of market developments to adapt our analytics framework and trading models</p></li><li><p>
Build close ties with the trading data, analytics and research teams in India and globally</p></li></ul><p><b>
Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in a subject with quantitative content (Masters preferable)</p></li><li><p>
Related experience in data science for financial service firms (4-7 years) and excellent data analysis skills. Exposure to AI/ML is a plus</p></li><li><p>
Keen interest in the field of investments or trading. Prior knowledge in economics, financial markets and/or market microstructure is a plus</p></li><li><p>
High motivation and willingness to acquire new skills on the job</p></li><li><p>
Excellent communicator with ability to explain research in simple terms</p></li><li><p>
Effective team player who works independently and confidently engages with trading and investment teams</p></li><li><p>
Professional and respectful work ethics</p></li><li><p>
Strong coding skills, ideally some Unix experience and proficiency in a programming language or statistical application like Python or R</p></li></ul><p><b>
Our benefits</b><br>
<br>
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p><p><b>
Our hybrid work model</b></p><p>
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><p><b>
About BlackRock</b></p><p>
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><p>
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><p>
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock</p><p></p><p>
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.</p></div>
<div><div><b>Job Requisition #</b>
<br>
R261134</div></div></div><p></p>

Quantitative Researcher (Trading Research), BlackRock Global Markets, Associate

Qube Research & Technologies

<div>
 <p>
  <strong>
   Programme duration:
  </strong>
  From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.
 </p>
 <p>
  <strong>
   Who qualifies:
  </strong>
  Penultimate or final year students completing a Bachelor's or a Master's degree.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qube Research &amp; Technologies (QRT)
  </strong>
  is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT&rsquo;s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
 </p>
 <p>
  Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.
 </p>
 <p>
  We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your future role at QRT
  </strong>
 </p>
 <p>
  Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Research
  </strong>
 </p>
 <p>
  Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities.
 </p>
 <p>
  Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Trading
  </strong>
 </p>
 <p>
  You will contribute to the live deployment of QRT&rsquo;s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for interns who are curious, creative, and collaborative. If you&rsquo;re passionate about learning, excited to take on challenges, and ready to make a real impact, you&rsquo;ll find plenty of opportunities to grow with us.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your present skillset
  </strong>
 </p>
 <ul>
  <li>
   Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering
  </li>
  <li>
   High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus
  </li>
  <li>
   Coding skills required in at least one leading programming language (Python and C++ or C#)
  </li>
  <li>
   Experience in exploring large datasets across multiple time frames is a plus
  </li>
  <li>
   Capacity to multi-task in a fast-paced environment while keeping strong attention to detail
  </li>
  <li>
   Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.
  </li>
  <li>
   Excellent communication skills
  </li>
  <li>
   Fluent in English, any other language is a plus
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Interviewing:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Apply online:
   </strong>
   applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.
  </li>
  <li>
   <strong>
    Interviews
   </strong>
   conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance
  </em>
 </p>
</div>


2026 - Internship, Quantitative Research/Trading

Revolut

<div><b>About Revolut</b><p></p><p>
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 70+ million customers get more from their money every day.</p><p>
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.</p><p></p><b>
About the role</b><p></p><p>
Our Wealth &amp; Trading team is at the forefront of redefining how people invest, using data-driven tools to make smarter financial decisions accessible to everyone. We operate with precision and expertise, building cutting-edge solutions that empower customers worldwide.</p><p>
We're looking for Quant Research Analysts to lead the development of automated investment recommendation systems and construct active multi-asset strategies.</p><p>
You'll leverage your expertise in corporate finance and fundamental analysis to design and refine models that emulate top-tier research analysts.</p><p>
Up to shape what&rsquo;s next in finance? Let&rsquo;s get in touch.</p><p></p><b>
What you'll be doing</b><p></p><ul><li>
Leading the development of automated analysis frameworks for multiple asset classes that incorporate fundamental analysis techniques</li><li>
Collaborating with Software Engineers to design, test, and refine algorithms that generate reliable and insightful investment recommendations</li><li>
Conducting hypothesis testing and backtesting to validate the accuracy and performance of models</li><li>
Integrating macroeconomic trends and sector-specific insights into the recommendation engine to deliver relevant, contextualised advice</li><li>
Constructing multi-asset investment strategies leveraging quantitative models</li><li>
Partnering with UX/UI Designers to create a user-friendly, transparent presentation of recommendations within the app</li><li>
Ensuring full compliance with regulatory standards surrounding investment advice and financial promotions</li></ul><p></p><b>
What you'll need</b><p></p><ul><li>
2+ years of experience in quantitative investment research in equity or fixed income, with a proven ability to evaluate and generalise across industries and markets</li><li>
Solid knowledge of quantitative and statistical tooling applied to systematic investment decisions</li><li>
The ability to interpret financial statements, assess valuation multiples, and develop insightful investment theses</li><li>
A STEM education background</li></ul><p></p><b>
Nice to have</b><p></p><ul><li>
Experience in manager selection, building systematic bond portfolios, designing long-short strategies, tactical asset allocation, and/or portfolio construction</li><li>
CFA qualifications or significant progress toward the certification</li></ul><p></p><p><i>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.</i></p><p><b><i>
Important notice for candidates:</i></b></p><p><i>
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.</i></p><ul><li><b><i>Only apply through official Revolut channels.</i></b><i> We don&rsquo;t use any third-party services or platforms for our recruitment.</i></li><li><b><i>Always double-check the emails you receive.</i></b><i> Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</i></li></ul><p><b><i>
We won't ask for payment or personal financial information during the hiring process.</i></b><i> If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.</i></p><p><i>
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's </i><i>Candidate Privacy Notice</i></p><p>
Notice: This is a remote position based in United Arab Emirates.</p></div>

Quant Research Analyst

Fuse Energy

<div>
 We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Develop and implement models for our energy supply business using Python and other data science tools
  </li>
  <li>
   Identify, analyze, and mitigate credit risk
  </li>
  <li>
   Conduct data analysis and modeling to support risk management decisions
  </li>
  <li>
   Stay current with industry developments and regulations related to credit risk management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience as a quantitative researcher or data scientist
  </li>
  <li>
   Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
  </li>
  <li>
   Strong statistical and modeling skills
  </li>
  <li>
   Strong communication and collaboration skills
  </li>
  <li>
   Experience in the energy industry is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and a stock options sign-on bonus
  </li>
  <li>
   Biannual bonus scheme
  </li>
  <li>
   Fully expensed tech to match your needs!
  </li>
  <li>
   28 days paid annual leave per year including public holiday
  </li>
 </ul>
</div>


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10000 quantitative research analyst jobs Near Me

Quantitative Research Analyst

Quantitative Researcher

Quantitative Researcher (Trading Research), BlackRock Global Markets, Associate

Quantitative Researcher

2026 - Internship, Quantitative Research/Trading

Quant Research Analyst

Quantitative Researcher