OPT Quantitative Jobs
Quantitative roles in finance, data science, and research are among the most OPT-friendly positions in the U.S. job market. Employers hiring quants expect advanced degrees and technical depth, which aligns well with the STEM OPT extension, giving eligible graduates up to 36 months of work authorization to build their careers.
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Get Access To All JobsINTRODUCTION
Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you’ll apply mathematics, statistics, machine learning and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets, and you will move Bloomberg’s business forward by assessing, improving, and implementing modern asset pricing models.
We are looking for people who are naturally curious, take ownership, are relentless problem solvers, and have the desire to continuously innovate, learn, and grow within the field of Fixed Income and Credit pricing.
ROLE AND RESPONSIBILITIES
You'll have the opportunity to:
- Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
- Conceptualize pricing methodologies, develop and continuously improve mathematical and data-driven models, all while translating algorithms into code.
- Increase your competency of technical skills as you work on models as research projects, from idea to productionization.
- Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
- Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
BASIC QUALIFICATIONS
You'll need to have:
- Ph.D. in the fields of Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning or a similar field from a top tier institution.
- 3+ years of proven experience on Fixed Income valuation within the buy or sell side. A track record designing, building, evaluating, and maintaining statistical and/or Machine Learning solutions in production is a plus.
- Experience working with, analyzing and extracting patterns and insights from medium size and large datasets is a must.
- Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, pattern recognition, etc.
- Strong practical computing skills to support the delivery of statistical and ML models. Experience with object oriented languages is a plus.
- A creative, rigorous approach to developing and testing novel methods and technologies.
- A track record of authoring publications in top conferences and journals is a strong plus.
PREFERRED QUALIFICATIONS
We offer you:
- A flat structure and very collaborative environment of like-minded individuals with strong passion for solving technically challenging problems in an open communication environment.
- State of the art tech stack to support your day-to-day activities.
- Tangible growth in skills and impact through the cross-collaboration between AI, Product and technology teams in an open and transparent manner.
- The ability to work in financial asset pricing in a supportive environment with work-life balance and a casual office environment.
COMPENSATION
- Salary Range: 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
INTRODUCTION
Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you’ll apply mathematics, statistics, machine learning and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets, and you will move Bloomberg’s business forward by assessing, improving, and implementing modern asset pricing models.
We are looking for people who are naturally curious, take ownership, are relentless problem solvers, and have the desire to continuously innovate, learn, and grow within the field of Fixed Income and Credit pricing.
ROLE AND RESPONSIBILITIES
You'll have the opportunity to:
- Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
- Conceptualize pricing methodologies, develop and continuously improve mathematical and data-driven models, all while translating algorithms into code.
- Increase your competency of technical skills as you work on models as research projects, from idea to productionization.
- Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
- Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
BASIC QUALIFICATIONS
You'll need to have:
- Ph.D. in the fields of Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning or a similar field from a top tier institution.
- 3+ years of proven experience on Fixed Income valuation within the buy or sell side. A track record designing, building, evaluating, and maintaining statistical and/or Machine Learning solutions in production is a plus.
- Experience working with, analyzing and extracting patterns and insights from medium size and large datasets is a must.
- Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, pattern recognition, etc.
- Strong practical computing skills to support the delivery of statistical and ML models. Experience with object oriented languages is a plus.
- A creative, rigorous approach to developing and testing novel methods and technologies.
- A track record of authoring publications in top conferences and journals is a strong plus.
PREFERRED QUALIFICATIONS
We offer you:
- A flat structure and very collaborative environment of like-minded individuals with strong passion for solving technically challenging problems in an open communication environment.
- State of the art tech stack to support your day-to-day activities.
- Tangible growth in skills and impact through the cross-collaboration between AI, Product and technology teams in an open and transparent manner.
- The ability to work in financial asset pricing in a supportive environment with work-life balance and a casual office environment.
COMPENSATION
- Salary Range: 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
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Get Access To All JobsTips for Finding OPT Sponsorship in Quantitative
Confirm your degree qualifies for STEM OPT
Quantitative roles typically require degrees in mathematics, statistics, computer science, or financial engineering. If your degree is on the STEM Designated Degree Program list, you're eligible for the 24-month STEM OPT extension beyond your initial 12 months.
Target firms with a history of H-1B sponsorship
Hedge funds, quantitative trading firms, and investment banks regularly sponsor H-1B visas for quant roles. Prioritize employers with established visa sponsorship pipelines, since these firms understand the process and budget for immigration costs as standard practice.
Lead with your technical stack in applications
Employers hiring for quantitative positions evaluate Python, R, C++, and statistical modeling skills before anything else. Listing these prominently on your resume signals immediate productivity and reduces perceived risk for employers who are uncertain about sponsoring international candidates.
Apply well before your OPT start date
Quantitative hiring processes often include multiple technical interview rounds spanning four to eight weeks. Starting your job search three to four months before your authorization begins gives you enough time to complete the process without gaps in your employment eligibility.
Be transparent about your OPT timeline upfront
Quant employers value precision and straightforward communication. Stating your OPT end date and STEM extension eligibility early in the process saves time for both sides and positions you as organized rather than evasive about your work authorization situation.
Document every project with quantifiable outcomes
When competing for quant roles, specific results matter far more than general descriptions. Frame internship and research work in terms of model accuracy improvements, portfolio return contributions, or computational efficiency gains to demonstrate the impact employers expect from quantitative hires.
Quantitative OPT: Frequently Asked Questions
Can I work in a quantitative role on OPT without an employer filing anything for me?
Yes. During your standard 12-month OPT period, you can begin working as soon as USCIS approves your Employment Authorization Document (EAD). Your employer does not need to file any petition on your behalf. The STEM OPT extension requires your employer to submit a formal training plan using Form I-983, but that only applies once you seek the extension.
Which quantitative job titles are most likely to qualify for the STEM OPT extension?
Roles such as quantitative analyst, quantitative researcher, quantitative developer, risk analyst, and algorithmic trading associate typically qualify when your underlying degree is in a STEM field like mathematics, statistics, financial engineering, or computer science. The key is that both your degree and the job's primary duties must align with your STEM Designated Degree Program. Your Designated School Official can confirm eligibility before you apply.
How do I find quantitative employers who are open to sponsoring OPT students?
Browse Migrate Mate to find quantitative roles from employers who have explicitly indicated openness to OPT and visa sponsorship. Searching general job boards often buries sponsorship details in fine print. Migrate Mate filters for sponsorship-friendly employers, saving you from applying to firms that will screen you out at the offer stage simply due to work authorization.
What happens to my OPT status if a quantitative role is contract or project-based rather than full-time?
OPT allows part-time work of at least 20 hours per week and permits multiple concurrent employers, so contract and project-based arrangements can qualify. However, you must be actively engaged in work related to your degree throughout your OPT period. Gaps of 90 days or more on standard OPT, or 150 days on STEM OPT, can jeopardize your status, so contract timing matters.
Do quantitative roles at smaller firms or startups typically lead to H-1B sponsorship after OPT?
Smaller quantitative firms and fintech startups do sponsor H-1B visas, but less predictably than large banks or established hedge funds. Before accepting an offer, ask directly whether the company has sponsored H-1B petitions before, whether they work with an immigration attorney, and how they handle the lottery risk. A firm that cannot answer these questions clearly may not have the infrastructure to support your long-term status.