Senior Data Analyst

DRW
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Join to apply for the Senior Data Analyst role at DRW

Join to apply for the Senior Data Analyst role at DRW

Get AI-powered advice on this job and more exclusive features.

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

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[]

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst and Finance
  • IndustriesCapital Markets and Financial Services

Referrals increase your chances of interviewing at DRW by 2x

Get notified about new Senior Data Analyst jobs in London, England, United Kingdom.

Senior Data Analyst, Reporting & Operations

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

Senior Data Analyst, Reporting & Operations

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Senior Data Business Analyst - 12 month FTCData Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £110k + Bonus, BenefitsData Business Analyst | Databricks - 12 Month ContractSnr Data Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £100k + Bonus, Benefits

London, England, United Kingdom 6 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Business Intelligence Analyst (Salesforce, Domo)

London, England, United Kingdom 2 hours ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 3 minutes ago

Interim Senior HR Systems and Data Analyst

London, England, United Kingdom 1 hour ago

London, England, United Kingdom 3 weeks ago

City Of London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 1 week ago

Hatfield, England, United Kingdom 5 days ago

Data Management - Technical Business Analyst

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.