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

<p>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.</p> Responsibilities: <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</li></ul> Requirements: <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</li></ul> Benefits: <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>

OneBullEx

<div><p>OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers advanced futures trading capabilities powered by AI-driven 300 SPARTANS &mdash; automated, high-precision trading strategies designed to thrive in market chaos.</p>
<p>
As The Innovative Market Handler and The Alchemist of Order, OneBullEx is forging structure from the volatility of the crypto markets. Our elite 300 SPARTANS stand at the frontier of algorithmic warfare &mdash; self-evolving strategies engineered to dominate market turbulence.</p>
<p>
The market never sleeps &mdash; and neither do we.</p>
<p>
Now, we are seeking a master strategist &mdash; a Quantitative Researcher &mdash; to join our ranks and lead the charge in building the next generation of data-driven trading intelligence.</p>
<p><b>
Your Mission</b></p>
<ul>
<li>We are looking for a Quantitative Researcher to explore the uncharted territories of global financial markets in search of Alpha.</li>
<li>This is where your ideas become code, and your code becomes profit.</li>
<li>You will collaborate with top-tier engineers, data scientists, and researchers to design, backtest, and deploy scalable, profitable trading systems.</li>
<li>Your genius will help us find order in chaos &mdash; uncovering signals hidden in oceans of data to fuel our relentless pursuit of performance.</li>
</ul>
<p><b>What You Will Do (Your Arsenal of Impact)</b></p><br>
<ul>
<li>Create &amp; Destroy: Design, code, and backtest strategies that challenge the status quo &mdash; destroy the weak, refine the strong.</li>
<li>Teach the Machine: Apply cutting-edge machine learning and deep learning to extract alpha and build autonomous, evolving trading intelligence.</li>
<li>Play with Data: Dive into massive datasets, visualise unseen patterns, and turn raw chaos into structured opportunity.</li>
<li>Level Up: Continuously monitor, refine, and evolve strategies to maintain dominance in dynamic markets.</li>
<li>Collaborate &amp; Conquer: Partner with the AI Engine Development team to push the boundaries of trading research and infrastructure.</li>
</ul>
<p><b>We are Looking for Someone Who</b></p>
<ul>
<li>Has 3+ years of proven experience in prop trading, systematic trading, or quantitative strategy research (crypto, futures, or FX).</li>
<li>Holds a Master's degree or PhD in Computer Science, Financial Engineering, Applied Mathematics, Physics, or Economics &mdash; or equivalent real-world expertise.</li>
<li>Is obsessed with machine learning, deep learning, or reinforcement learning, and has a track record of applying them to live markets.</li>
<li>Writes code that thinks &mdash; fluent in Python, C++, Rust, or another high-performance language.</li>
<li>Possesses sharp analytical instincts and a relentless drive to uncover hidden truths in data.</li>
<li>Communicates clearly and effectively in English &mdash; because clarity is power.</li>
</ul>
<p><b>This Role Is for You If</b></p>
<ul>
<li>You are driven by curiosity and never stop asking &quot;Why?&quot;.</li>
<li>You thrive in the unknown, building answers where none exist.</li>
<li>You believe in team synergy over ego &mdash; and understand that genius scales through collaboration.</li>
<li>You live for the thrill of seeing your ideas move real markets.</li>
</ul>
<p><b>What We Offer</b></p>
<ul>
<li>Limitless Growth: Industry-leading compensation directly tied to your performance. No ceiling, only sky.</li>
<li>Total Freedom: A research-first environment &mdash; no bureaucracy, just results.</li>
<li>Elite Tools: Access to state-of-the-art infrastructure and data resources to turn your vision into reality.</li>
<li>A-Team Energy: Collaborate with world-class quants, engineers, and innovators who will challenge and elevate you.</li></ul></div><p></p>

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 <br/>
 <br/>
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 <br/>
 <br/>
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and implement quantitative models to support hedging strategies for retail energy supply
  </li>
  <li>
   Analyze market data to optimize the performance of physical assets such as solar and wind farms
  </li>
  <li>
   Conduct statistical and scenario-based modeling to inform trading and risk management decisions
  </li>
  <li>
   Monitor power markets, pricing trends, and regulatory developments to identify risks and opportunities
  </li>
  <li>
   Collaborate with engineering and operations teams to integrate models into day-to-day decision-making
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1+ years of experience in quantitative modeling, data analysis, or a related role in energy, trading, or analytics
  </li>
  <li>
   Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization
  </li>
  <li>
   Solid understanding of statistical modeling, optimization, and analysis techniques
  </li>
  <li>
   Experience working with time series or market data, preferably in energy or commodities markets
  </li>
  <li>
   Strong problem-solving skills and the ability to translate complex data into actionable insights
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and an equity sign-on bonus
  </li>
  <li>
   Biannual bonus scheme
  </li>
  <li>
   Fully expensed tech to match your needs
  </li>
  <li>
   Paid annual leave
  </li>
  <li>
   Breakfast and dinner for office based employees
  </li>
 </ul>
</div>


Rutgers University

<div><div><h2 class="jobSectionHeader"><b>Position Details</b></h2>
<div><div><div>Position Information
</div><p></p><div><div><div><div><b>Recruitment/Posting Title</b></div> <div>Qualitative Researcher</div>
</div><br>
<div><div><b>Department</b></div> <div>Cornwall Ctr Metro Studies</div>
</div><br>
<div><div><b>Salary Details</b></div> <div>$2,500-9,000</div>
</div><br>
<div><div><b>Offer Information</b></div>
<div>The final salary offer may be determined by several factors, including, but not limited to, the candidate&rsquo;s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university&rsquo;s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.</div>
</div><br>
<div><div><b>Benefits</b></div>
<div><div>Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:</div><ul>
<li>Medical, prescription drug, and dental coverage</li>
<li>Paid vacation, holidays, and various leave programs</li>
<li>Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options</li>
<li>Employee and dependent educational benefits</li>
<li>Life insurance coverage</li>
<li>Employee discounts programs</li><br>
<p></p>
</ul><div></div><div>
For detailed information on benefits and eligibility, please visit: <b>http://uhr.rutgers.edu/benefits/benefits-overview</b>.</div></div>
</div><br>
<div><div><b>Posting Summary</b></div>
<div><div>The Joseph C. Cornwall Center for Metropolitan Studies is seeking to hire a temporary Qualitative Researcher to conduct and manage a short-term, evaluation project studying the relationships between urban neighborhood organizations and community outcomes. The Researcher will conduct qualitative data collection and cleaning, data management, data mining, statistical modeling, develop data visualizations and dashboards, and write reports for stakeholders and the public. The Researcher may supervise graduate student researchers.<br>
</div><div>The Qualitative Researcher will work on projects involving large-scale, longitudinal data. Strong qualitative skills, data management and maintenance of databases, and experience working with community groups are essential. The Researcher will contribute to planning and presenting at the Center&rsquo;s research convenings. The Researcher must be committed to using research as tool for achieving equity. Experience with place-based research would be very advantageous as would familiarity with research on school change and funding. Cornwall research projects are in partnership with various local and state stakeholder groups and focus on numerous topics in K&ndash;12 education, urban planning, and community stability.<br>
</div><div>As a major public university in New Jersey&rsquo;s largest city, Rutgers University-Newark provides students with the knowledge and preparation necessary for leadership roles in an increasingly complex society, with particular attention to its public mission and building a civic dialogue. The campus is the most diverse national university in the United States and is ranked twelfth among doctoral degree-granting small universities in the country. Total enrollment is more than 13,000 students. The Cornwall Center is one manifestation of the University&rsquo;s commitment to building, in partnership with local residents, a more vibrant community. Its specific mission is conducting research and demonstration projects that improve the quality of life in the metropolitan New Jersey, especially for the most vulnerable residents.</div></div>
</div><br>
<div><div><b>Position Status</b></div> <div>Part Time</div>
</div><br>
<div><div><b>Posting Number</b></div> <div>25FA1084</div>
</div><br>
<div><div><b>Posting Open Date</b></div> <div>10/30/2025</div>
</div><br>
<div><div><b>Posting Close Date</b></div> <div>11/04/2025</div>
</div><br>
</div></div></div><div><div>Qualifications
</div><p></p><div><div><div><div><b>Minimum Education and Experience</b></div>
<div>Ph.D., preferably in public policy, education, sociology, economics, public administration, or a related field. Master&rsquo;s degree holders in relevant fields may be considered but only in cases where candidate has substantial (5 years or more) relevant experience with clear evidence of effectiveness.</div>
</div><br>
<div><div><b>Certifications/Licenses</b></div>
</div><br>
<div></div><div><div><b>Required Knowledge, Skills, and Abilities</b></div>
<div>Position requires a person with excellent organizational talents, interpersonal skills, and demonstrated ability to work with diverse interests in a spirit of mutual cooperation. Strong written and oral communication skills are essential.</div>
</div><br>
<div><div><b>Preferred Qualifications</b></div>
</div><br>
<div></div><div><div><b>Equipment Utilized</b></div>
</div><br>
<div></div><div><div><b>Physical Demands and Work Environment</b></div>
</div><br>
<div></div><div><div><b>Overview</b></div>
</div><br>
<div></div><div><div><b>Statement</b></div>
</div><br>
</div></div></div><div></div><div><div>Posting Details
</div><p></p><div><div><div><div><b>Special Instructions to Applicants</b></div>
</div><br>
<div></div><div><div><b>Quick Link to Posting</b></div> <div>https://jobs.rutgers.edu/postings/262670</div>
</div><br>
<div><div><b>Campus</b></div> <div>Rutgers University-Newark</div>
</div><br>
<div><div><b>Home Location Campus</b></div> <div>Rutgers University-Newark</div>
</div><br>
<div><div><b>City</b></div> <div>Newark</div>
</div><br>
<div><div><b>State</b></div> <div>NJ</div>
</div><br>
<div><div><b>Location Details</b></div>
</div><br>
</div></div></div><div></div><div><div>Pre-employment Screenings
<p></p><div>All offers of employment are contingent upon successful completion of all pre-employment screenings.</div><p></p>
</div></div><div></div><div><div>Immunization Requirements
<p>Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate&rsquo;s offer of employment or disciplinary action up to and including termination.</p></div></div></div></div></div><p></p>

Qualitative Researcher

Foresight Research Pvt. Ltd.

<p><b>About the Role:</b><br/>We are looking for a <b>Data Analyst</b> with strong quantitative and analytical skills to join our team. The ideal candidate will have hands-on experience with <b>SPSS, Python</b>, and data analysis, and a solid understanding of statistics and research design.</p><p><b>Key Responsibilities:</b></p><ul><li>Analyze large and complex datasets to generate meaningful insights</li><li>Develop and automate analytical reports using SPSS / Python / Excel</li><li>Support market research projects through data cleaning, validation, and statistical analysis</li><li>Work closely with research and client servicing teams to interpret findings</li><li>Contribute to the development of dashboards and advanced analytics tools</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Statistics, Economics, Mathematics, or IT</b></li><li>3&ndash;4 years of experience in <b>quantitative data analysis or market research</b></li><li>Strong command over <b>MS Excel</b>, <b>SPSS, Python (Pandas/Numpy) </b></li><li>Excellent analytical thinking, attention to detail, and problem-solving skills</li><li>Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus</li></ul><p>Job Type: Full-time</p><p>Pay: Rs65,000.00 - Rs100,000.00 per month</p><p>Work Location: In person</p>

Data Analyst – Quantitative Research

Gemscap Global AnalystPvt. Ltd

<p><b>Job Title</b>: Quantitative Developer (Full-time)</p><p><b>Location</b>: Pune</p><p><b>About Us</b></p><p>Gemscap Global Analyst Pvt. Ltd. is a cutting-edge quantitative research and trading firm committed to developing data-driven strategies and technology-driven solutions for global financial markets. Headquartered in Pune, we operate at the intersection of finance, technology, and innovation, leveraging advanced quantitative models, real-time systems, and high-performance computing to drive trading decisions and risk management.</p><p>At Gemscap, we foster a high-impact, low-bureaucracy environment where technologists, quants, and traders collaborate closely to build proprietary tools and strategies from the ground up. Our lean structure allows for rapid execution, deep ownership, and a direct line of sight to live trading outcomes.</p><p>With a strong focus on continuous learning, experimentation, and full-stack development, we empower our team to explore bold ideas, iterate quickly, and push the boundaries of what&rsquo;s possible in modern finance. Whether you're building low-latency execution systems or advanced research platforms, your work at Gemscap directly influences trading performance and strategy evolution.</p><p><b>Role Overview</b></p><p>As a Quantitative Developer, you will be responsible for building end-to-end applications and dashboards that support live trading, risk monitoring, and research workflows. You will own the full lifecycle from data sourcing and modeling to application development and deployment, ensuring traders have fast, intuitive, and reliable tools.</p><p>This role is hands-on and requires comfort with both backend systems and frontend interfaces, with a strong emphasis on real-time data delivery, analytics, and visualization. In addition to application development, you will also be expected to assist with data modeling, back testing, and feature engineering tasks, working closely with researchers to ensure models are properly implemented, thoroughly tested, and seamlessly integrated into production systems.</p><p>Because this is a lean and fast-paced environment, we are seeking self-starters who can take ownership, adapt quickly, and thrive without constant supervision. You will be working closely with quant researchers and traders, but not under heavy layers of engineering management, which means your ability to guide yourself, make pragmatic technical decisions, and deliver reliable solutions independently is critical.</p><p><b>Key Responsibilities</b></p><p>&#9679; Develop and maintain tools for live P&amp;L tracking, position monitoring, and analytics dashboards.</p><p>&#9679; Design and manage data pipelines for the ingestion, processing, and storage of real-time and historical market data.</p><p>&#9679; Collaborate with the trading team to build low-latency execution algorithms and automation tools for quant researchers and traders.</p><p>&#9679; Contribute to both frontend and backend development for internal systems.</p><p>&#9679; Build statistical and quantitative research tools to provide insights into market behavior and strategy performance.</p><p>&#9679; Support traders and researchers with modeling tasks, feature engineering, and backtests.</p><p>&#9679; Develop modules for strategy prototyping, scenario analysis, and performance evaluation.</p><p>&#9679; Write clean, efficient, and scalable code with an ownership-driven mindset.</p><p>&#9679; Continuously learn and adapt to evolving trading needs in a fast-paced environment.</p><p><b>Skills &amp; Qualifications</b></p><p><b>Must Have</b>:</p><p>&#9679; Strong programming skills in Python (NumPy, pandas, FastAPI/Flask, Plotly/Dash/Streamlit, Redis).</p><p>&#9679; Experience with frontend development (React, TypeScript, or similar) and UI/UX</p><p>&#9679; Prior hands-on experience in Full-stack development and/or Quantitative Domain.</p><p>&#9679; Solid understanding of databases (SQL/NoSQL) and data pipelines.</p><p>&#9679; Familiarity with real-time systems (websockets, streaming APIs, message queues).</p><p>&#9679; Experience with data structures, algorithms, and system design.</p><p>&#9679; Strong problem-solving skills and a hunger to learn on the job.</p><p><b>Nice to Have:</b></p><p>&#9679; Prior experience or interest in financial markets/algo trading/quantitative research.</p><p>&#9679; Familiarity with C++/Java/.net for performance-critical modules.</p><p>&#9679; Exposure to DevOps/deployment/cloud infrastructure (AWS, Docker, etc.).</p><p>&#9679; Exposure to TT ADL and/or experience developing algorithms via TT ADL.</p><p>&#9679; Knowledge of options, futures, and market microstructure.</p><p>What We Offer</p><p>&#9679; Direct P&amp;L impact - your work will be used live on the trading desk.</p><p>&#9679; High-growth environment - no bureaucracy, full ownership, rapid execution.</p><p>&#9679; Opportunity to work across the full quant-tech stack - from models to live applications.</p><p>&#9679; Competitive compensation with performance-linked upside.</p><p>&#9679; Opportunity to build core systems from the ground up rather than maintaining legacy code.</p><p>Note that we strongly prefer developers who are AI-enabled, especially those with exposure to agentic AI frameworks, and can prototype solutions quickly while also converting them into production-grade applications with reliability and performance in mind. However, while we are an AI-augmented team, it is critical that your foundations in programming, systems design, and problem-solving are strong without relying on AI assistance.</p><p>Job Type: Full-time</p><p>Pay: From &#8377;1,200,000.00 per year</p><p>Benefits:</p><ul><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

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