quantitative researcher

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>


Quantitative Researcher

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>

Youtube

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>6 years of experience in product research in an applied research setting, or similar.<br>
</li>
<li>Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in human-computer interaction, cognitive science, statistics, psychology, anthropology, or a related field.</li>
<li>5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).<br>
</li>
<li>3 years of experience managing projects, and working in a changing organization.</li>
<li>Experience conducting research with children, teenagers, or parents.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
At Google, we follow a simple but vital premise: &quot;Focus on the user and all else will follow.&quot; Quantitative User Experience Researchers make this possible.
<br>
<br>
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, needs, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google&rsquo;s businesses.<br>
<br>
As a Quantitative User Experience Researcher (Quant UXR), you&rsquo;ll help inform your team of UXers, product managers, and engineers about user needs. You&rsquo;ll play a critical role in creating useful, usable, and delightful products. You&rsquo;ll work with stakeholders across functions and levels and have impact at all stages of product development.
<br>
<br>
You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You&rsquo;ll combine skills in behavioral research design, statistical methods, and general programming to improve user experience.<br>
<br>
The Quantitative UXR community at Google will help you do your best work. You&rsquo;ll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.</p>
<p>
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun &mdash; and we do it all together.</p><p>
The US base salary range for this full-time position is $151,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Define and craft user-centered metrics for youth experience across YouTube Kids and the main YouTube app.</li>
<li>Leverage logs analysis to identify opportunities to better meet the needs of families.</li>
<li>Design and execute surveys and experiments.</li>
<li>Partner with UX, product management, engineering, and policy teams to translate data into product roadmaps.</li>
<li>Bring an innovative approach to research, using the latest generative AI tools to amplify impact.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior UX Quantitative Researcher, YouTube

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

Moreton Capital Partners

<div><h3 class="jobSectionHeader"><b>Quant Researcher &ndash; Systematic Commodities Hedge Fund</b></h3><p>
Moreton Capital Partners is seeking a talented Quant Researcher to help build the next generation of alpha signals in commodity futures. Our research is grounded in advanced machine learning, robust testing frameworks, and a deep understanding of global commodity markets.</p><p>
This role is central to our mission: you&rsquo;ll take ownership of designing, testing, and refining predictive models that directly feed into live trading portfolios.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Research, prototype, and validate systematic trading signals across commodities using advanced ML methods.</li>
<li>Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests.</li>
<li>Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing).</li>
<li>Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods.</li>
<li>Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution.</li>
<li>Collaborate with developers to transition research into production-ready strategies.</li>
<li>Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library.</li>
</ul><p><b>Requirements</b></p><ul><li>
Masters or PhD in either Statistics, Economics, Computer Science.</li></ul><ul>
<li>Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML).</li>
<li>Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow).</li>
<li>Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias.</li>
<li>Academic experience in research and proven ability to translate academic work to production code.</li>
<li>Prior exposure to systematic trading or financial modelling.</li>
<li>Ability to design experiments, interpret results, and iterate quickly in a research environment.</li>
</ul><p></p><p><b>Bonus points for:</b></p><ul>
<li>Knowledge of commodities (agriculture, energy, metals) or macro markets.</li>
<li>Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite).</li>
<li>Experience collaborating in version control environments.</li>
<li>Familiarity with portfolio optimization, risk parity, or Bayesian model averaging.</li>
<li>Publications, Kaggle competitions, or research track record demonstrating applied ML excellence.</li>
</ul><p><b>Benefits</b></p><ul>
<li>
Direct impact: Your alphas will go live into production portfolios, with real capital behind them.</li>
<li>Research-first culture: We value deep thinking, novel approaches, and systematic rigor.</li>
<li>Close collaboration across a global team.</li>
<li>Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines.</li>
<li>Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.</li>
<li>Positive, inclusive and encouraging work environment.</li></ul></div>

Quant Researcher - Systematic Commodities Hedge Fund

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