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UBS
Actively Hiring

Electronic Trading Quantitative Analyst

Posted: 1 month ago
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
Java
Data Analysis
SQL
Tableau
Smart Order Routing
KDB
OneTick
Power BI
Algorithmic Trading Strategies

About the job

Your role

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 also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.

Job Type

Full Time

Job Reference #

335332BR

City

New York

Your team

You'll be working in the Quantitative Analysis & Development team in New York. The team is responsible for providing best in class, execution trading algorithms, smart order routing (SOR) and direct market access products for a large number of global clients based both internally and externally across predominantly Cash Equities but also ETD and FX asset classes.

Your expertise

Your expertise :

  • 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

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.

About the company

UBS company logo

UBS

Actively Hiring
5000+ Employees
Learn more about UBS image

Funding

AMOUNT RAISED
$1.5B
FUNDED OVER
1 round
Round
S
$1500000000
Seed - Sep 2024

Founders

Anthony Russo
Intern • 10 years
New Jersey
image
Valentina Shegoyan
Co-founder and CEO • 19 years
London
image
Christopher Higgins
Co-Founder of Campus Based Tee-Shirt Sales Company "Caro Inc." • 9 years
Williston Park
image
View the team image

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