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Internship in Control Performance team

Other-InternNo visa sponsorship
UBS logo

at UBS

Bulge Bracket Investment Banks

Posted 16 days ago

No clicks

**UBS seeks an Intern for its Control Performance team to optimize complex algorithmic trading strategies. Key responsibilities include researching market microstructure, performing transaction cost analysis, enhancing algorithm consistency, and designing low latency trading strategies. Proficient in data analytics tools, machine learning, and adaptable to new markets. Communicate effectively with stakeholders, and generate trading signals and volume forecasts. Experience with market data (L2/L3 format) and relevant technologies preferred.**

Compensation
$145,000 – $172,500 USD

Currency: $ (USD)

City
New York City
Country
United States

Full Job Description

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 UBSs 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 also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.Show more Electronic Trading Quantitative Analyst

Internship in Control Performance team

Compensation

$145,000 – $172,500 USD

City: New York City

Country: United States

UBS logo
Bulge Bracket Investment Banks

16 days ago

No clicks

at UBS

Other-InternNo visa sponsorship

**UBS seeks an Intern for its Control Performance team to optimize complex algorithmic trading strategies. Key responsibilities include researching market microstructure, performing transaction cost analysis, enhancing algorithm consistency, and designing low latency trading strategies. Proficient in data analytics tools, machine learning, and adaptable to new markets. Communicate effectively with stakeholders, and generate trading signals and volume forecasts. Experience with market data (L2/L3 format) and relevant technologies preferred.**

Full Job Description

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 UBSs 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 also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.Show more Electronic Trading Quantitative Analyst