STEM OPT Quantitative Analyst Jobs
Quantitative Analyst roles in finance, risk, and data science are strong fits for STEM OPT students with degrees in mathematics, statistics, computer science, or financial engineering. Your 24-month STEM OPT extension is available once you secure a role at an E-Verify-enrolled employer and file an I-983 training plan with your DSO.
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Get Access To All JobsINTRODUCTION
Are you passionate about performing research, analyzing data and coding up improvements to complex algorithmic trading strategies? We're looking for someone to analyze, adapt and improve the quantitative performance of UBS’s suite of agency algorithmic trading and smart order routing strategies.
ROLE AND RESPONSIBILITIES
The successful candidate will primarily:
- perform thorough research on areas such as market microstructure and market impact analysis.
- perform Transaction Costs Analysis (TCA) to minimize executions costs.
- improve consistency of algo performance and reduce outliers and risk, particularly during significant unscheduled as well as scheduled events e.g. index rebalance events.
- design and spec new trading strategies with a particular focus on low latency trading strategies.
- analyze trading patterns and trends within market data (L2 or L3 format).
- employ modern data analytical tools such as machine learning but in a controlled and practical way.
- adapt algorithms to adjust to new markets, venues, order types, asset classes and regulation.
- generate intraday trading signals and volume forecasts from microseconds to minutes.
- communicate with internal stakeholders and external clients and vendors to understand business requirements and market trends.
- produce analytics and reports to monitor and benchmark trading performance both internally and for clients.
BASIC QUALIFICATIONS
- ideally 2+ years of experience with Algorithmic Trading Strategies, Smart Order Routing and Data Analysis for single stock and portfolio trading.
- proven background in quantitative analysis and development with a degree in Computer Science, Mathematics, Engineering or related discipline (PhD preferred but not a pre-requisite).
- working knowledge of Java (other languages considered).
- proficient in data analysis using statistical software packages such as Python or equivalent.
- experience analyzing tick series market data via KDB / Onetick and extracting data via e.g. SQL.
- knowledge of US cash equity market microstructure with an understanding of low latency trading strategies preferred but not essential.
- proficient with visualization tools such as Tableau or Power BI.
- strong written and verbal communication skills in English to produce comprehensive business requirement specification and model risk documents.
- knowledge of L3 market data and orderbook mechanics also a plus.
PREFERRED QUALIFICATIONS
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
LOCATION
- United States - New York
- City: New York
COMPENSATION
- Salary Range: $145000 to $172500
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.
SALARY INFORMATION
The indicative gross base salary range as a full-time equivalent role:
- United States - New York - New York min USD 145000 - max USD 172500 /annum
The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.
JOIN US
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
DISCLAIMER / POLICY STATEMENTS
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
INTRODUCTION
Are you passionate about performing research, analyzing data and coding up improvements to complex algorithmic trading strategies? We're looking for someone to analyze, adapt and improve the quantitative performance of UBS’s suite of agency algorithmic trading and smart order routing strategies.
ROLE AND RESPONSIBILITIES
The successful candidate will primarily:
- perform thorough research on areas such as market microstructure and market impact analysis.
- perform Transaction Costs Analysis (TCA) to minimize executions costs.
- improve consistency of algo performance and reduce outliers and risk, particularly during significant unscheduled as well as scheduled events e.g. index rebalance events.
- design and spec new trading strategies with a particular focus on low latency trading strategies.
- analyze trading patterns and trends within market data (L2 or L3 format).
- employ modern data analytical tools such as machine learning but in a controlled and practical way.
- adapt algorithms to adjust to new markets, venues, order types, asset classes and regulation.
- generate intraday trading signals and volume forecasts from microseconds to minutes.
- communicate with internal stakeholders and external clients and vendors to understand business requirements and market trends.
- produce analytics and reports to monitor and benchmark trading performance both internally and for clients.
BASIC QUALIFICATIONS
- ideally 2+ years of experience with Algorithmic Trading Strategies, Smart Order Routing and Data Analysis for single stock and portfolio trading.
- proven background in quantitative analysis and development with a degree in Computer Science, Mathematics, Engineering or related discipline (PhD preferred but not a pre-requisite).
- working knowledge of Java (other languages considered).
- proficient in data analysis using statistical software packages such as Python or equivalent.
- experience analyzing tick series market data via KDB / Onetick and extracting data via e.g. SQL.
- knowledge of US cash equity market microstructure with an understanding of low latency trading strategies preferred but not essential.
- proficient with visualization tools such as Tableau or Power BI.
- strong written and verbal communication skills in English to produce comprehensive business requirement specification and model risk documents.
- knowledge of L3 market data and orderbook mechanics also a plus.
PREFERRED QUALIFICATIONS
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
LOCATION
- United States - New York
- City: New York
COMPENSATION
- Salary Range: $145000 to $172500
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.
SALARY INFORMATION
The indicative gross base salary range as a full-time equivalent role:
- United States - New York - New York min USD 145000 - max USD 172500 /annum
The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.
JOIN US
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
DISCLAIMER / POLICY STATEMENTS
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
See all 93+ STEM OPT Quantitative Analyst Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Quantitative Analyst
Verify your degree's CIP code eligibility
STEM OPT applies only to degrees on the DHS STEM Designated Degree Program List. Check that your major's CIP code, listed on your I-20, falls under mathematics, statistics, computer science, or a related quantitative field before applying.
Confirm E-Verify enrollment before accepting offers
Your employer must be enrolled in E-Verify for your STEM OPT extension to be valid. Search the E-Verify employer search tool by company name to confirm active enrollment status before signing any offer letter.
Build your I-983 training plan around quant deliverables
Frame your I-983 training plan around specific learning objectives tied to quantitative analysis: model development, backtesting, risk metrics, or statistical inference. Generic descriptions get flagged by DSOs and can delay your extension approval.
Target financial firms with dedicated quantitative research teams
Asset managers, hedge funds, and investment banks that run structured quant programs are more likely to have E-Verify enrollment and experience with STEM OPT paperwork than smaller fintech startups or non-financial employers.
Use Migrate Mate to find E-Verify-enrolled employers hiring quant analysts
Search Migrate Mate to filter quantitative analyst openings by employers verified through E-Verify enrollment, so you aren't wasting applications on companies that can't legally support your STEM OPT extension.
Frequently Asked Questions
Does my degree qualify me for a STEM OPT extension as a Quantitative Analyst?
STEM OPT eligibility depends on your degree's CIP code appearing on the DHS STEM Designated Degree Program List, not the job title itself. Degrees in mathematics, statistics, computer science, financial mathematics, and operations research typically qualify. Check the CIP code printed on your I-20 against the DHS list to confirm before your DSO submits the STEM OPT extension request.
What E-Verify requirement applies to my STEM OPT employer?
Any employer who hires you on a STEM OPT extension must be actively enrolled in E-Verify at the specific work site where you'll be employed. This is a federal requirement enforced by ICE, not a company policy choice. Verify enrollment using the E-Verify employer search tool before you accept an offer. Remote work arrangements require the employer's primary worksite to be enrolled.
What goes into the I-983 training plan for a Quantitative Analyst role?
The I-983 must outline practical training goals directly tied to your quantitative analyst responsibilities, the STEM skills you'll develop, how the employer will supervise and evaluate your progress, and how the work relates to your degree. Generic entries like 'financial analysis' aren't sufficient. Specific learning objectives, such as developing pricing models or applying time-series methods to portfolio data, make the plan defensible if ICE reviews it.
How does cap-gap protection apply if I'm on STEM OPT and get selected in the H-1B lottery?
If your STEM OPT extension is active on April 1 and your H-1B petition is filed for October 1 start, cap-gap protection automatically extends your work authorization through September 30. Your EAD remains valid during this gap without additional filing. This protection applies only if your STEM OPT extension was properly approved and your I-765 for H-1B change of status was timely filed by your employer.
Where can I find Quantitative Analyst jobs at E-Verify-enrolled employers?
Migrate Mate lists quantitative analyst openings filtered by employers enrolled in E-Verify, which removes a major research step for STEM OPT students. You can browse roles in quantitative research, risk analytics, and algorithmic trading without manually cross-checking each company's E-Verify status before applying.