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Open Requisitions
Data Scientist
Miami, London, NYC
Finders Bonus - $8,000K
Responsibilities:
• Data Exploration and Visualization: Conduct thorough data analysis and create visualizations to understand data patterns and trends• Predictive Modeling: Develop and implement machine learning models to predict outcomes and optimize business processes• Experimentation: Design and execute experiments to test hypotheses and validate modelperformance• Stakeholder Communication: Present findings and insights to stakeholders in a clear and actionable mannerRequired
Qualifications:• 3+ years of full time experience in a fast-paced financial or similar setting• Technical Proficiency: Strong programming skills in Python and R, with experience using libraries such as Pandas, scikit-learn, and TensorFlow• Data Visualization: Proficiency in tools like Tableau for creating compelling visualizations• Statistical Analysis: Solid understanding of statistical methods and their application in data analysis• SQL: Ability to write complex SQL queries to extract and manipulate data from databasesPreferred:• Experience with cloud platforms such as GCP• Familiarity with big data tools like Spark and Kafka• Understanding of ETL processes and data pipeline design
- The most important qualification is experience with low level systems programming and optimization, whether it is in C, C++, or any other language.
- About You
- • Experience with low level systems programming and optimization, and working on network applications that require extremely low latency and high throughput
- Can understand, interpret, and improve application performance through hardware performance counters and other profiling tools
- This role is specifically working at a market market, a high frequency trading firm in NYC and runs by market hours. Fully onsite position.
A global finance company is looking for a seasoned KDBQ/Q Engineer.
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You should have a minimum of 3+ years of experience working with KDB/Q as your primary language.
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We are looking for true KDB+/Q expertise. You will be the senior resource on our KDB team and be the go-to for all complex KDB matters.
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In-memory column-based database virtuosity is essential for this role.
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A thorough knowledge of the KDB syntax and functional programming paradigm is expected. You should have worked with Big Data and high frequency mechanisms.
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Data types and type casting skills in Q are important.
You should have experience writing your own gateways.
This is not a functional or a quant role.
This is a development position.Good analysis skills, data sets manipulation, and statistical understanding are important.
Responsibilities:
Candidates who have less than 7+ years of experience should possess:
Good knowledge of UNIX/Linux command line.
Good understanding of the usage of TCP/IP and UDP networking in applications.
Strong understanding of network routing and troubleshooting.
Strong experience in writing SQL database queries.
Intermediate experience in Python.
First line support and root cause problem diagnosis within a real-time, distributed environment.
Large-scale application and infrastructure capacity planning and deployment.
Organizing application migrations and infrastructure upgrades.