Graduate Quantitative Researcher, PhD Job at Optiver (New York)

Quantitative Analytics Associate Graduate Programme

Graduate Programme delivering immersive experiences, transformative development ...

Location

Singapore , Singapore

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Pursuing a Masters or a PhD in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Statistics, Calculus, Computer Science or other STEM subjects with a graduation date between December 2025 and June 2026
Mathematical and programming skills (ideally in Java, C++, or Python)
Knack for logical thinking and creative problem solving
Good communicator and team player
Motivated and curious

Job Responsibility

Application of the latest quantitative techniques to solve business problems
Research, development, and implementation of new models and solutions
Improve the bank’s computing and data infrastructure
Collaboration with cross-functional teams and senior management to progress business initiatives
Participation in training and development programs
Conduct research to support strategic decision making
Prepare presentations and reports to communicate research findings
Collaborate with senior management to implement research findings
Design, development of the quantitative research framework using domain specific languages
Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products

What we offer

Paid holiday and vacation
Competitive pay
Private medical care
Disability assurance
Flexible working
Life assurance
Voluntary benefits
Retirement planning

Fulltime

New

Quantitative Analytics Associate Discovery Programme

The Discovery Programme is designed for students to experience what it means to ...

Location

Singapore , Singapore

Salary:

Not provided

Barclays

Expiration Date

March 02, 2026

Requirements

Graduating between December 2027 and June 2028
GPA of 3.2 or above
Pursuing a Masters or a PhD in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects
Strong programming skills (particularly in Java, C++, or Python)
Knack for logical thinking and creative problem solving
Great at communicating and collaborating
Curious to understand how a global bank adapts in a constantly evolving environment

Job Responsibility

Application of the latest quantitative techniques to solve business problems, research, development, and implementation of new models and solutions and improve the bank’s computing and data infrastructure
Collaboration with cross-functional teams and senior management to progress business initiatives
Participation in training and development programs to enhance skills and knowledge
Conduct research to support strategic decision making, prepare presentations and reports to communicate research findings, and collaborate with senior management to implement research findings
Design, development of the quantitative research framework using domain specific languages
Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products

What we offer

Paid holiday and vacation
Competitive pay
Private medical care
Disability assurance
Flexible working
Life assurance
Voluntary benefits
Retirement planning

New

Graduate Quantitative Researcher

As a Graduate Quantitative Researcher, you will develop, refine and implement al...

Location

United States , Austin

Salary:

Not provided

Optiver

Expiration Date

Until further notice

Requirements

PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements
Expected to graduate by mid-2026 and available to start full-time employment upon graduation
Solid foundation in mathematics, probability, and statistics
Excellent research, analytical, and modeling skills
Independent research experience
Proficiency in any programming language
Experience in machine learning, with practical applications in time-series analysis and pattern recognition
Strong interest in working in a fast-paced, collaborative environment
Fluent in English with strong written and verbal communication skills

Job Responsibility

Using statistical models and machine learning to develop trading algorithms
Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities
Building stochastic models to determine the fair value of financial derivatives
Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries

What we offer

A performance-based bonus structure
The opportunity to work alongside best-in-class professionals from over 40 different countries
Ownership over initiatives that directly solve business problems
401(k) match up to 50% and fully paid health insurance
25 paid vacation days alongside market holidays
Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Fulltime

New

Graduate Quantitative Researcher

As a Graduate Quantitative Researcher, you will develop, refine and implement al...

Location

United States , Chicago

Salary:

175000.00 USD / Year

Optiver

Expiration Date

Until further notice

Requirements

PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements
Expected to graduate by mid-2026 and available to start full-time employment upon graduation
Solid foundation in mathematics, probability, and statistics
Excellent research, analytical, and modeling skills
Independent research experience
Proficiency in any programming language
Experience in machine learning, with practical applications in time-series analysis and pattern recognition
Strong interest in working in a fast-paced, collaborative environment
Fluent in English with strong written and verbal communication skills

Job Responsibility

Using statistical models and machine learning to develop trading algorithms
Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities
Building stochastic models to determine the fair value of financial derivatives
Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries

What we offer

A performance-based bonus structure
The opportunity to work alongside best-in-class professionals from over 40 different countries
Ownership over initiatives that directly solve business problems
401(k) match up to 50% and fully paid health insurance
25 paid vacation days alongside market holidays
Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Fulltime

Epidemiology and Veterinary Public Health Faculty

The School seeks to attract a first-class candidate with a background in epidemi...

Location

Saint Kitts and Nevis , Basseterre

Salary:

Not provided

Adtalem Global Education

Expiration Date

Until further notice

Requirements

A DVM or comparable degree is essential
A PhD is highly desirable, as is graduate training in epidemiology and/or veterinary preventive medicine
Demonstrated competency in teaching DVM students, including teaching to large class sizes
Experience in various areas of veterinary epidemiology such as design and implementation of observational and experimental epidemiologic studies, modeling of animal infectious diseases, disease surveillance, molecular epidemiology, diagnostic test result evaluation, and information technology
Research publications in a relevant field of veterinary medicine, as well as potential to collaborate in research or develop an independent research program
A strong commitment to meeting the needs of students and an understanding of student-centered learning, in collaboration with the existing veterinary public health/epidemiology teaching team
Excellent interpersonal and communication skills and the ability to work with others in a collegial team atmosphere and to enthuse and positively influence students

Job Responsibility

Teach veterinary public health and epidemiology to veterinary students and graduate students on such topics as quantitative epidemiology, disease surveillance and control, outbreak investigation, zoonotic and foodborne diseases
Participate in other team-taught didactic courses as needed
Participate in Graduate Teaching (online Master’s in One Health)
Lead an independent research program, and/or collaborative research program, and for promoting research to professional veterinary students
Research should result in publications in peer-reviewed journals
Intramural funding is available (upon application) but submission of grants for extramural funding is expected
Provide support to research-active faculty in study design and data analysis
Add to the research expansion of the University
Forge collaborations with relevant strategic partners to provide maximum impact for our research and programs
Engagement in service activities, including faculty meetings, assigned committees, and designated office hours is expected

Fulltime

Intern, Implementation Science

The BioMarin Summer Internship Program will enable students to gain valuable exp...

Location

United States

Salary:

32.00 - 50.00 USD / Hour

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

Trainings in the use of and evaluation of implementation research-specific experimental designs
Past experience (internship or full-time) in public health agencies, healthcare systems, and/or population health initiatives
Experience in one or more of the following areas in the US: value-based healthcare, program evaluation, patient engagement, patient journey analysis, and healthcare improvement
Knowledge of implementation science theories, models, and frameworks and application of them in real world clinical settings
Experience in utilizing statistical principles to manage and understand quantitative data
Ability to analyze complex data, draw conclusions and summarize recommendations
Knowledge and experience of using quantitative, qualitative, and mixed methods in evidence-based medicine and healthcare service research
Self-motivated with the ability to work independently
Excellent oral and written communication skills
Proficiency in the use of Microsoft Office Suite of tools (Outlook, PowerPoint, Word, Excel etc.)

Job Responsibility

Work with a cross-functional team on dedicated research projects
Support implementation science study design, delivery, and data analysis
Analyze existing field medical solutions, identify gaps, and co-create and test new solutions to improve clinical decision workflow, enhance care delivery, and drive guideline adoption
Contribute to developing an industry-leading implementation science capability

What we offer

Paid hourly wage
Paid company holidays
Sick time
Apply skills and knowledge learned in the classroom to on-the-job experiences
Comprehensive, value-added project(s)
Develop skills specific to your major
Opportunities for professional development by building relationships and learning about other parts of the business
Access to Employee Resource Groups

Fulltime

Adjunct Faculty- Doctor of Business Administration

Doctor of Business Administration (DBA) Adjunct faculty members’ primary respons...

Location

United States

Salary:

Not provided

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Terminal degree in Business Administration (PhD, DBA) or a related field from an accredited institution is required
Proof of serving doctoral students for at least 1 year
Evidence of continuing scholarly or creative work within the past 5 years
Proficient in APA 7th edition
Strong research methodology background in quantitative and qualitative methods in research (preference given to quantitative)
Excellent leadership, communication, team, and human relation skills
Experience working in an online instructional setting at the graduate level
Adjunct faculty provide their own laptops and are expected to use the Walden University Learning Management System and the Microsoft 365 tools with their assigned Walden email addresses
The Faculty Member must be able to use Microsoft Office products (MS Word, MS Excel, and MS PowerPoint), zip software, and Adobe Acrobat and must have reliable Internet access as well as alternate access in cases where primary access becomes unavailable

Job Responsibility

Mentoring capstone students
Independently supporting the learning and development needs of students earning their degrees in a distance learning environment
Fostering Walden’s Community of Care
Instruct content courses or research methodology courses, which they are credentialed to teach
Participation in Mentor Training
Embracing diverse, process-learning approaches resulting in outcomes of academic quality and integrity
Knowledge of an inquiry-action model of education fostering applied research, discovery, and critical thinking
Ensuring the curriculum enhances the social good through graduates who commit to making positive, enduring impacts by creating healthy communities
Collaborative, collegial, and positive relationship and communications with other faculty members
Be reasonably accessible to their students

What we offer

Other opportunities for its contributing faculty members, such as dissertation/doctoral study committee chair positions, research reviewing, and dissertation and doctoral study mentoring

Parttime

Senior/Principal Computer Scientist - Optimization & Operations Researcher

The Discrete Math and Optimization Department advances mathematical and computat...

Location

United States , Albuquerque

Salary:

117500.00 - 235700.00 USD / Year

Sandia National Laboratories

Expiration Date

Until further notice

Requirements

Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development
Ability to obtain and maintain a DOE Q clearance
Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement
Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills
PhD in Applied Mathematics, Computer Science, Engineering, Operations Research, or a closely related quantitative field, along with a Bachelor's degree in a STEM discipline
Demonstrated experience with major optimization paradigms, including Linear Programming (LP), Mixed-Integer Programming (MIP), Stochastic Programming, and/or Nonlinear Programming (NLP), or advanced Constraint Programming
Proficiency in Python and experience with modern software development and engineering practices, including version control (e.g., GitLab), testing, and collaborative coding workflows
A record of peer-reviewed publications and presentations at major scientific conferences demonstrating research leadership, combined with a history of successful project delivery, implementation, and/or technology transfer
Proven experience as a constructive and inclusive team lead or member within a diverse, interdisciplinary research environment, demonstrating responsibility and responsiveness in project execution
Expertise in theoretical and computational aspects of Mixed Integer Programming (MIP), Stochastic Programming, and other algorithms for discrete optimization

Job Responsibility

Designing and implementing novel optimization algorithms and advanced operations research methods
Applying mathematical modeling to critical domains, including power grid modeling and analysis, cybersecurity, process systems engineering, and national security logistics
Developing robust, scalable software tools that empower mission partners and advance the capabilities of the global scientific community
Collaborating across disciplines to bridge the gap between theoretical mathematics and practical, real-world applications and solutions
Sharing results via high-impact publications and presentations to funding agencies, stakeholders, and the broader research community

What we offer

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance

Fulltime

Graduate Quantitative Researcher, PhD

Optiver

Location:
United States , New York

Category:
Finance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 29, 2026

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