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For Companies At a Glance
- Tasks: Automate data processes and support live trading teams with cutting-edge technology.
- Company: Join Hudson River Trading, a leader in algorithmic trading and data innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make an impact in a fast-paced environment while working with top-tier data.
- Qualifications: Experience in data engineering or a related field, with strong Python skills.
- Other info: Collaborative culture that values diversity and innovative ideas.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market.
This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research.
Responsibilities
- Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
- Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
- Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
- Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times
Profile
- Track record of being detail-oriented and thorough
- You excel in problem solving and researching large datasets to resolve complex issues
- You have a collaborative attitude that lends itself to cross-team customers and projects
- You thrive in the fast-paced environment of a daily live trading operation
Qualifications
- 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline
- Experience in Python strongly preferred
- Experience managing ETL pipelines is a plus
- Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
- Comfortable with the Linux command line
- Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
- Able to provide technical support in a production trading environment
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world\’s most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
Use of AI tools during interviews or assessments is strictly prohibited unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.
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Data Production Engineer employer: Hudson River Trading
Contact Detail:
Hudson River Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Production Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Hudson River Trading on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and data analysis techniques. Be ready to discuss how you've tackled complex datasets in the past. Show them you're not just a coder, but a problem solver!
✨Tip Number 3
Don’t forget to showcase your collaborative spirit! HRT values teamwork, so share examples of how you've worked with others to achieve goals. This will help them see you as a great fit for their culture.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the HRT team. Let’s get you that Data Production Engineer role!
We think you need these skills to ace Data Production Engineer
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data! Share specific examples of how you've worked with data in the past, whether it's through projects, internships, or personal interests. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your application to fit the Data Production Engineer role. Highlight relevant experiences and skills that align with the job description. This shows us that you’ve done your homework and understand what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate candidates who can communicate effectively, especially when it comes to complex data topics.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Hudson River Trading
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you’ll be working with at Hudson River Trading. Familiarise yourself with financial datasets like Refinitiv or Bloomberg, and brush up on your Python skills. Being able to discuss specific examples of how you've handled data in the past will show that you're not just a candidate, but a potential asset.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex issues you've resolved in previous roles. Think about times when you identified anomalies in datasets or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see your thought process and impact.
✨Emphasise Collaboration
Since this role involves working closely with trading teams and external partners, highlight your collaborative experiences. Share examples of how you've successfully worked across teams to achieve a common goal. This will demonstrate that you can thrive in HRT's community-focused environment.
✨Be Ready for Technical Questions
Expect technical questions related to data engineering and analysis. Brush up on your knowledge of ETL pipelines, SQL dialects, and Linux command line usage. Practising coding challenges or discussing your past projects can help you feel more confident and prepared for these discussions.
