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

University of Utah

<p></p><div><div><div><div><div><div><div><div><div>The forthcoming center on prison education research and leadership in the College of Education at the University of Utah seeks a Senior Research Associate with expertise in quantitative methods. The Center does research that advances educational justice for people and communities harmed by incarceration. We envision a world where colleges and universities lead the way in fostering greater access to opportunity for all people, including those directly impacted by the legal system.</div><div>
The Senior Research Associate (SRA) will undertake a wide range of strategic, academic, and capacity-building activities aimed at enabling and enhancing research on prison higher education and reentry. In collaboration with institutional and program leaders, the SRA will oversee strategic research advancement, communicate research opportunities and findings, foster collaboration within the team, and engage a leadership role on research projects. The person who fills this position will be responsible for training other researchers, supervising research staff, and overseeing graduate assistants, and will serve as primary research liaison to the Center, the University, and other external partners. The SRA will work under the supervision of the Center Director. We strongly encourage applications from individuals directly impacted by incarceration and punishment systems.<br>
</div></div>
</div><br>
<div><div><b>Responsibilities</b></div>
<div><ul><li>Serve as the lead/co-lead researcher on multi-PI research projects</li>
<li>Lead all phases of research design, planning, and execution of quantitative research projects. This includes reviewing literature, developing research plans, developing data collection instruments and tools, piloting and validating data, analyzing quantitative data, and drafting and editing research reports and scholarly manuscripts</li>
<li>Serve as senior liaison with stakeholders including state agencies and higher education institutions</li>
<li>Oversee IRB protocols, data use agreements, and compliance monitoring across multiple institutions and jurisdictions</li>
<li>Lead regular cross-site meetings to align stakeholders</li>
<li>Coordinate secure data transfers and compliance across states and data providers</li>
<li>Maintain detailed documentation of data processing pipelines, codebooks, and metadata</li>
<li>Ensure appropriate data cleaning, harmonization, transformation, and documentation across diverse data sources</li>
<li>Apply advanced statistical models and quantitative research designs (e.g., regression, propensity score matching, longitudinal modeling, fixed/random effects, regression discontinuity, instrumental variable estimation, difference-in-difference)</li>
<li>Design and oversee data linkage strategies across disparate administrative datasets</li>
<li>Interact with stakeholders, partner institutions/organizations, political, governmental, funders, and corporate leaders related to research initiatives</li>
<li>Develop and present research results, in the form of technical reports, peer-reviewed manuscripts, briefs, presentations, webinars, etc., to inform internal and external stakeholders of research projects</li>
<li>Mentor, train, and supervise a team of researchers</li>
<li>Other research related activities as assigned by the Center Director</li></ul></div><br>
<p></p>
</div><br>
<div><div><b>Minimum Qualifications</b></div>
<div><ul><li>PhD in education, social sciences, or related field or comparable professional experience</li>
<li>Advanced knowledge of the field of higher education</li>
<li>5+ years of experience in quantitative research, including longitudinal or administrative data analysis</li>
<li>Demonstrated experience conducting applied social science and/or educational research, including implementing experimental and quasi-experimental research designs, survey techniques, and program evaluation</li>
<li>Demonstrated experience with data cleaning, data migration, and management of multiple administrative data sets</li>
<li>Demonstrated commitment to and knowledge about educational equity and justice</li>
<li>Ability to work well with and across diverse teams of people</li>
<li>Strong project management experience coordinating communications and associated logistics on a multi-site research project</li>
<li>Advanced knowledge of Excel, Python, R, or other data analysis tools to conduct data analytics, statistical analysis, survey tools, and research techniques</li>
<li>Proven experience leading teams and managing deadlines;</li>
<li>Experience working both independently and as a collaborative team member</li>
<li>Excellent written communication, verbal communication, and organizational skills; and attention to detail</li></ul></div><br>
<p></p>
</div><br>
<div><div><b>Preferences</b></div>
<div><ul><li>Knowledge of the landscape of postsecondary education in prison</li>
<li>Advanced experience working with institutional and state-level postsecondary data systems</li></ul></div><br>
<p></p>
</div><br>
<div><div><b>Type</b></div> <div>Benefited Staff</div>
</div><br>
<div><div><b>Special Instructions Summary</b></div>
<div><div>Applicant Documents Directions:</div><div>
<ul><li><b>Writing Sample</b>: Attach a writing sample of one scholarly paper or technical report where you are lead author or major contributor demonstrating quantitative research skills.</li></ul>
<ul><li><b>Example of Research: S</b>pecifically highlights experience leading multi-site research projects and using quantitative/statistical analyses. <i>No more than two pages.</i>
</li></ul>
</div></div></div><br>
<div><div><b>Additional Information</b></div>
<div>The University is a participating employer with Utah Retirement Systems (&ldquo;URS&rdquo;). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS&rsquo; post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.<br>
This position may require the successful completion of a criminal background check and/or drug screen.<br>
<br>
The University of Utah values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients.<br>
<br>
All qualified individuals are strongly encouraged to apply. Veterans&rsquo; preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.<br>
The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran&rsquo;s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.<br>
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action (OEO/AA). More information, including the Director/Title IX Coordinator&rsquo;s office address, electronic mail address, and telephone number can be located at: https://www.utah.edu/nondiscrimination/<br>
Online reports may be submitted at oeo.utah.edu<br>
<br>
https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.</div>
</div><br>
</div></div></div></div></div><h2 class="jobSectionHeader"><b>Posting Specific Questions</b></h2>
<div><p>Required fields are indicated with an asterisk (*).</p>
<p>
</p></div><h2 class="jobSectionHeader"><b>Applicant Documents</b></h2>
<div><b>Required Documents</b>
<div><ul><li>Cover Letter</li></ul>
<ul><li>Curriculum Vitae</li></ul>
<ul><li>Example of Research 1</li></ul>
<ul><li>Writing Sample 1</li></ul>
</div><b>Optional Documents</b></div></div><p></p>
<br><p></p><div><div><div><div><div><div><div><div><b>Open Date</b></div> <div>10/08/2025</div>
</div><br>
<div><div><b>Requisition Number</b></div> <div>PRN43164B</div>
</div><br>
<div><div><b>Job Title</b></div> <div>Research Associate</div>
</div><br>
<div><div><b>Working Title</b></div> <div>Senior Research Associate (Quantitative)</div>
</div><br>
<div><div><b>Career Progression Track</b></div> <div>A00</div>
</div><br>
<div><div><b>Track Level</b></div>
</div><br>
<div></div><div><div><b>FLSA Code</b></div> <div>Professional</div>
</div><br>
<div><div><b>Patient Sensitive Job Code?</b></div> <div>No</div>
</div><br>
<div><div><b>Standard Hours per Week</b></div> <div>40</div>
</div><br>
<div><div><b>Full Time or Part Time?</b></div> <div>Full Time</div>
</div><br>
<div><div><b>Shift</b></div> <div>Day</div>
</div><br>
<div><div><b>Work Schedule Summary</b></div>
</div><br>
<div></div><div><div><b>VP Area</b></div> <div>Academic Affairs</div>
</div><br>
<div><div><b>Department</b></div> <div>00162 - Educational Leadership&amp;Policy</div>
</div><br>
<div><div><b>Location</b></div> <div>Campus</div>
</div><br>
<div><div><b>City</b></div> <div>Salt Lake City, UT</div>
</div><br>
<div><div><b>Type of Recruitment</b></div> <div>External Posting</div>
</div><br>
<div><div><b>Pay Rate Range</b></div> <div>$100,000 - $120,000</div>
</div><br>
<div><div><b>Close Date</b></div> <div>12/23/2025</div>
</div><br>
<div><div><b>Priority Review Date (Note - Posting may close at any time)</b></div></div></div></div></div></div></div></div><p></p>

Senior Research Associate (Quantitative)

Gemscap Global AnalystPvt. Ltd

<p><b>Job Title: Quantitative Developer (Full-time)</b></p><p><b>Location: Pune</b></p><p><b>Job Type: Full Time &ndash;In Office</b></p><p><b>Role Overview</b></p><p>As a Quantitative Developer, you will be responsible for building end-to-end applications and</p><p>dashboards that support live trading, risk monitoring, and research workflows. You will own the full</p><p>lifecycle from data sourcing and modeling to application development and deployment, ensuring</p><p>traders have fast, intuitive, and reliable tools.</p><p>This role is hands-on and requires comfort with both backend systems and frontend interfaces,</p><p>with a strong emphasis on real-time data delivery, analytics, and visualization. In addition to</p><p>application development, you will also be expected to assist with data modeling, backtesting, and</p><p>feature engineering tasks, working closely with researchers to ensure models are properly</p><p>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</p><p>ownership, adapt quickly, and thrive without constant supervision. You will be working closely with</p><p>quant researchers and traders, but not under heavy layers of engineering management, which</p><p>means your ability to guide yourself, make pragmatic technical decisions, and deliver reliable</p><p>solutions independently is critical.</p><p><b>Key Responsibilities</b></p><p>&#9679; Develop and maintain tools for live P&amp;amp;L tracking, position monitoring, and analytics</p><p>dashboards.</p><p>&#9679; Design and manage data pipelines for the ingestion, processing, and storage of real-time</p><p>and historical market data.</p><p>&#9679; Collaborate with the trading team to build low-latency execution algorithms and automation</p><p>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</p><p>and strategy performance.</p><p>&#9679; Support traders and researchers with modeling tasks, feature engineering, and back tests.</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;amp; Qualifications</b></p><p><b>Must Have:</b></p><p>&#9679; Strong programming skills in Python (NumPy, pandas, FastAPI/Flask,</p><p>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>Qualifications:</b></p><p>&#61623; A Degree in Computer Science, Engineering, Mathematics, or a related quantitative</p><p>discipline.</p><p>&#61623; 2&ndash;4 years of experience in the related field</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><b>What We Offer</b></p><p>&#9679; Direct P&amp;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</p><p>agentic AI frameworks, and can prototype solutions quickly while also converting them into</p><p>production-grade applications with reliability and performance in mind. However, while we are an</p><p>AI-augmented team, it is critical that your foundations in programming, systems design, and</p><p>problem-solving are strong without relying on AI assistance.</p><p>Job Type: Full-time</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>

Quantitative Developer

BayOne Solutions

<b>About Position:</b><br>
<b>Job Title:</b> UX Researcher
<br><br>
<b>Location:</b> Mountain View, CA - Hybrid
<br><br>
<b>Pay rate:</b> $40/Hr.
<br><br>
<b>Duration:</b> 6 Months with possible extension
<br><br>
<b>Employment Type:</b> Contract
<br><br>
Role Description and Responsibilities
<br><br>
We are looking for a mixed-methods UX Researcher to support our research for Google’s Devices and Services Product Area. You will use quantitative and qualitative research methods to design and execute research projects that establish how good the user experience needs to be. As a research associate on our team, you will be responsible for driving several research projects to completion. You will oversee the planning, execution, and data analysis for these projects and generate insights from the research. The perfect candidate is someone with a demonstrated ability to drive the research process. You will use your strong communication skills to collaborate with designers, product managers, and engineers to bring research studies to life, and advocate your work to larger audiences.
<br><br>
<b>Required Qualifications:</b><br>
Solid quantitative and qualitative research skills
<br><br>
MA/MS in Psychology, Sociology, Human Factors, HCI, or other fields emphasizing human behavior
<br><br>
2+ years of industry or lab experience working with xfn partners
<br><br>
Experience planning, designing, and running rigorous research experiments
<br><br>
Detail oriented
<br><br>
Strong understanding of strengths and shortcomings of different research methods, including when and how to apply them during each product phase
<br><br>
<b>Additional Preferred Qualifications:</b><br>
PhD in psychology, human factors, statistics
<br><br>
Strong communication and collaboration skills
<br><br>
Flexible and able to adapt to changing schedules and different projects

UX Researcher

BRAINSTER MATH LEARNING TECHNOLOGIES PRIVATE LIMITED

<p>Brainster Math provides math enrichment programs for children in grades K to 10.</p><p>We are looking for passionate mathematicians to join our rapidly growing team. Our ideal candidate is either pursuing a PhD in a quantitative field (Mathematics, Mathematics education, Computer Science, Economics etc.) or has a PhD in these fields and is looking for a part-time position. We are looking for candidates based in India. The ideal candidate is an expert in LaTeX, has experience creating tutorial problems for Undergraduate students and has a working knowledge of Python.</p><p>Consultant has the following responsibilities:</p><p>- Create Geometry curriculum and materials for the Company</p><p>- Create Analytical Geometry curriculum and materials for the Company</p><p>- Create Advanced algebra and pre-calculus curriculum and materials for the Company</p><p>- Modify existing curriculum and content as directed by the Company</p><p>- Papers published on ArXiV is a huge plus</p><p>The curriculum has to be created in LaTeX in accordance with Company design standards.</p><p>Job Type: Part-time</p><p>Pay: Rs.800 - Rs.1000 per hour</p><p>Work Location: Remote</p><p>Job Type: Part-time</p><p>Job Type: Part-time</p><p>Pay: &#8377;800.00 - &#8377;1,000.00 per hour</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Work from home</li></ul>

Math Curriculum Developer

Henkel

<div>
 <strong>
  About this Position
 </strong>
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 <br/>
 <br/>
 <strong>
  What You&acute;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
  </li>
  <li>
   Delivers data science products from idea to deployment
  </li>
  <li>
   Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
  </li>
  <li>
   Develop processes and tools to monitor and analyze model performance and data accuracy
  </li>
  <li>
   Acts as data science ambassador across business units and functions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What makes you a good fit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
  </li>
  <li>
   3-5 years of relevant work experience
  </li>
  <li>
   Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
  </li>
  <li>
   Business acumen and ability to work closely with non-technical teams
  </li>
  <li>
   High confidence in verbal and written communication.
  </li>
  <li>
   Experience using statistical computer languages (Python and SQL knowledge is a must)
  </li>
  <li>
   Experience analyzing data from 3rd party providers is preferable
  </li>
  <li>
   Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Some perks of joining Henkel
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
  </li>
  <li>
   Diverse national and international growth opportunities
  </li>
  <li>
   Globally wellbeing standards with health and preventive care programs
  </li>
  <li>
   Gender-neutral parental leave for a minimum of 8 weeks
  </li>
  <li>
   Employee Share Plan with voluntary investment and Henkel matching shares
  </li>
  <li>
   Comprehensive Health Insurance for employee + dependents
  </li>
  <li>
   Employee Assistance Program provides a wide range of mental health and wellbeing benefits
   <br/>
   <br/>
  </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>


Data Scientist

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