Electronic Trading Quantitative Analyst

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$145K-$172K From the posting source checked Jun 20, 2026

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Market context

U.S. role benchmark (BLS OEWS)

$106,409 U.S. median for this role

Projected growth (BLS Employment Projections)

+7.7% - Faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 13-2011 - Finance aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Finance From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Electronic Trading Quantitative Analyst 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. 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 • New York: the salary range for this role is $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

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