Senior Data Analyst

Senior Data Analyst

London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: As a Senior Data Analyst, you'll manage datasets and support traders with data insights.
  • Company: Join DRW, a leading trading firm with over 30 years of innovative market experience.
  • Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration across global teams.
  • Why this job: Be part of a culture that values integrity, innovation, and the pursuit of excellence in data analysis.
  • Qualifications: 3+ years as a data analyst, SQL expertise, and Python programming skills are essential.
  • Other info: Experience with financial instruments and cloud solutions will enhance your application.

The predicted salary is between 36000 - 60000 £ per year.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it\’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Senior Data Analyst you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including technology, front office, operations, research, and risk management. You should be comfortable investigating complex data support issues and develop sustainable solutions to address root causes.

What you will do in this role

  • Help verify, clean, and ensure data is accurate and consistent across systems used for research and analysis by the various trading teams globally.
  • Analyse datasets in order to draw conclusions and provide insight to address stakeholder or project-related questions.
  • Collect metrics and analyse datasets across different dimensions of data quality including; completeness, validity, accuracy, timeliness, and consistency.
  • Perform preliminary root cause analysis and make recommendations for modifications in data pipelines to increase data quality.
  • Monitor and work through production data issues whilst engaging key stakeholders across multiple teams and facilitating global support.
  • Proactively identify opportunities for improvement in processes and engage with developers to determine the appropriate course of action.

What you will need in this role

  • 3+ years of experience working as a data analyst.
  • Knowledge of a variety of financial instruments, in particular exposure to derivatives instruments.
  • Experience working with SQL.
  • Experience with cloud storage solutions.
  • Experience with workflow management tools (Airflow / Argo).
  • Prior experience writing documentation for senior stakeholders; the ability to accurately abstract and summarize technical information is critical.
  • Python programming skills: PySpark, Pandas, Jupyter Notebooks (3+ years in a professional environment).
  • Prior experience working with git in a professional environment.
  • Ability to work independently in a fast-paced environment; prioritize multiple tasks and projects.

Additional skills or experience which enhance consideration for this role

  • Prior experience developing data quality control processes to detect data gaps or inaccuracies is a plus.
  • Familiarity with compressed/optimized file formats for data storage such as Parquet and HDF5.
  • Prior experience providing technical guidance to junior data analysts.
  • Prior experience mapping security identifier data or working with a security master database would be beneficial.
  • Prior experience working with Bloomberg Terminal.
  • Familiarity with Linux and basic Bash scripting skills.

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Senior Data Analyst employer: DRW Holdings, LLC.

At DRW, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. As a Senior Data Analyst in our Chicago headquarters, you will benefit from a culture that values autonomy and integrity, while also having access to extensive professional development opportunities. With a commitment to high expectations and respect for diverse perspectives, DRW is an exceptional employer for those seeking meaningful and rewarding careers in the fast-paced world of trading and technology.
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Contact Detail:

DRW Holdings, LLC. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst

✨Tip Number 1

Familiarise yourself with the specific financial instruments mentioned in the job description, especially derivatives. Understanding these will not only help you in interviews but also demonstrate your genuine interest in the role.

✨Tip Number 2

Brush up on your SQL skills and be prepared to discuss your experience with cloud storage solutions. You might be asked to solve a problem or explain how you've used these tools in past projects.

✨Tip Number 3

Showcase your ability to work independently by preparing examples of how you've managed multiple tasks or projects in fast-paced environments. This will highlight your suitability for the autonomy valued at DRW.

✨Tip Number 4

Engage with the data analytics community online, particularly around topics like data quality control processes and Python programming. Networking can provide insights and potentially lead to referrals that could strengthen your application.

We think you need these skills to ace Senior Data Analyst

Data Analysis
SQL
Python Programming (PySpark, Pandas, Jupyter Notebooks)
Cloud Storage Solutions
Workflow Management Tools (Airflow / Argo)
Data Quality Control Processes
Technical Documentation Writing
Root Cause Analysis
Stakeholder Engagement
Git Version Control
Financial Instruments Knowledge
Data Pipeline Modification
Problem-Solving Skills
Time Management
Linux and Basic Bash Scripting

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience as a data analyst, particularly focusing on your 3+ years of experience and any specific skills mentioned in the job description, such as SQL, Python, and cloud storage solutions.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your understanding of DRW's values and how you can contribute to their mission. Mention your experience with financial instruments and data quality control processes.

Showcase Technical Skills: In your application, be sure to detail your technical skills, especially your proficiency in Python, SQL, and any workflow management tools like Airflow or Argo. Provide examples of how you've used these skills in previous roles.

Highlight Problem-Solving Abilities: Emphasise your ability to investigate complex data issues and develop sustainable solutions. Include specific examples of past experiences where you identified opportunities for improvement and successfully implemented changes.

How to prepare for a job interview at DRW Holdings, LLC.

✨Showcase Your Technical Skills

Make sure to highlight your experience with SQL, Python, and any cloud storage solutions you've worked with. Be prepared to discuss specific projects where you used these skills, as well as any challenges you faced and how you overcame them.

✨Demonstrate Your Analytical Thinking

Prepare to discuss how you've approached data quality issues in the past. Share examples of how you've performed root cause analysis and the steps you took to improve data pipelines. This will show your problem-solving abilities and attention to detail.

✨Understand the Financial Instruments

Familiarise yourself with various financial instruments, especially derivatives, as this knowledge is crucial for the role. Being able to discuss how these instruments relate to data analysis will demonstrate your understanding of the trading environment.

✨Engage with Stakeholders

Since the role involves working closely with multiple teams, be ready to talk about your experience collaborating with different stakeholders. Highlight any instances where you successfully communicated complex technical information to non-technical audiences.

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