Senior Data Engineer

ZipRecruiter
London
6 days ago
Create job alert

Job Description

Company Overview

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds, and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.

Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.

About INTERACTIVE BROKERS!

This is a hybrid role (three days in the office/two days remote).

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 that will 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; 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:

  • Competitive salary, annual performance-based bonus, and stock grant.
  • Retirement plan 401(k) with competitive company match.
  • Excellent health and welfare benefits, including medical, dental, and vision benefits.
  • Wellness screenings and assessments, health coaches, and counseling services through an Employee Assistance Program (EAP).
  • Paid time off and a generous parental leave policy.
  • Daily company lunch allowance provided, and a fully stocked kitchen with healthy options for breakfast and snacks.
  • Corporate events including team outings, dinners, volunteer activities, and company sports teams.
  • Education reimbursement and learning opportunities.
  • Modern offices with multi-monitor setups.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Fabric - £70,000 - London

Senior Data Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.