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Company

Unisys · 3 hours ago

Quantitative Developer – Trading Market Analytics

United States

Full-time

Remote

Mid Level

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Business DevelopmentInformation Services

H1B Sponsor Likely

Hiring Manager

Gaurav Gosavi

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Responsibilities

Analyze enterprise trading market data and build strategies for detecting anomalies such as insider trading and fraud.

Conduct data analytics on large-scale market transactional microstructure data.

Develop self-service analytic solutions for internal stakeholders.

Extract, transform, and generate insights from large-scale datasets, wrapping solutions in Python for seamless user interfaces.

Build and manage analytics using tools like Dataiku and Plotly, creating intuitive dashboards and web applications.

Work with distributed storage and compute technologies like Spark to manage and process billions of records daily.

Perform advanced data munging and build scalable analytics pipelines.

Work closely with cross-functional teams to design and implement innovative solutions for detecting trading anomalies.

Contribute to the development of dashboards and web applications to distribute insights effectively to end-users.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Trading market data expertiseData analyticsPythonSQLLarge data setsDistributed storageDistributed computingSparkSelf-service analytic solutionsDataikuPlotlyHigh-frequency tradingAPIs for analyticsMarket makingAlgorithmic trading

Required

Open to potential conversion in the future

Trading market data expertise

Have built strategies on enterprise trading market data.

Have performed data analytics on large market transactional microstructure data

Have built self-service analytic solutions

Python

SQL

Familiar with large data sets, distributed storage, distributed compute, spark

Strong background in trading market data analytics and understanding of trading microstructure.

Hands-on experience with Python and SQL for data analysis and solution development.

Familiarity with large data sets, distributed storage, and distributed computing frameworks such as Spark.

Proven experience in building strategies and performing analytics on enterprise-level trading market data.

Ability to design self-service analytic solutions and implement them effectively.

Preferred

Background in high-frequency trading firms such as DRW Trading, Tower Research Capital, Citadel Securities, Hudson River Trading, Jane Street, Two Sigma, Virtu, Optiver, or similar organizations is highly desirable.

Experience in high-frequency trading, market making, or algorithmic trading environments.

Deep understanding of market data, trading strategies, and analytics solutions.

Experience with tools like Dataiku and Plotly for dashboard creation and web app development.

Knowledge of CAT (Consolidated Audit Trail) data or similar large-scale market datasets.

Familiarity with building distributed Python-based solutions and APIs for analytics.

Company

Unisys

Glassdoor

3.5

Unisys is a worldwide information technology company. They provide a portfolio of IT services, software, and technology that solves

Founded in 1986

Blue Bell, Pennsylvania, USA

10,001+ employees

http://www.unisys.com

H1B Sponsorship

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Trends of Total Sponsorships

2023 (18)

2022 (17)

2021 (28)

2020 (24)