Data Engineer

About INTERACTIVE BROKERS:

Interactive Brokers Group has been consistently at the forefront of trading innovation, starting with the invention of the first floor-based handheld computer in 1983. We pride ourselves on being primarily a technology company and challenging the status quo. We push boundaries to offer our clients the best trading platform with the most sophisticated features at the lowest cost. Software development is the lifeblood of our firm, and it shows in our stellar brokerage platform. Interactive Brokers is regularly recognized as a leader in the financial services industry.

About Your Team:

A Telemetry/Data/AI team that works closely with product owners and development teams. As part of this team, you will build or use tools to collect and analyze data to help understand the business and assist with decision-making. 

We are looking for a Data Scientist Engineer to ingest and analyze large amounts of raw information that will help improve our company and help with decision-making. We will rely on you to build data products to extract valuable business insights.

In this role, you will be responsible for the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models.

Integrate with data platforms and tools to ensure efficient and scalable data processing for AI initiatives. You will also play a key role in developing and maintaining the data infrastructure that supports our analytics efforts.

In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions.

Your Responsibilities Within IBKR: 

• Design, develop, and implement data pipelines to collect, clean, and transform data from various sources
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Assist with data labeling and tagging
• Analyze large amounts of information to discover trends and patterns
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Perform feature engineering for AI applications

What Skills Are Required:

• BS/ MS /PhD in Computer Science, Engineering, or relevant field; a graduate degree in Data Science or other quantitative field is preferred.
• 5 + years of experience as a Data Scientist or Data Analyst
• Experience in data mining
• Understanding of machine learning and operations research
• Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus.
• Experience using ELK Stack (Elasticsearch, Logstash, Kibana)
• Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
• Experience with AI/ML-based solutions for data analysis is a big plus.
• Analytical mind and business acumen
• Strong math skills (e.g., statistics, algebra)

To Be Successful in This Position, You Will Have the Following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• An innovative mindset with a drive to improve upon existing systems.
• Outstanding organizational and time management skills.

Company Benefits & Perks:

• Discretionary annual bonus (cash and stock)
• Private healthcare insurance
• Free recreational pass (AYCM XL package)
• Daily food allowance in the office
• Monthly BKK pass
• Hybrid way of working (2 days home office/week)
• Modern office in the heart of Budapest with free amenities
• Great atmosphere with friendly and exceptional colleagues and frequent company outings.

*The benefits package will be reviewed regularly and may be subject to change.