Senior Data Analyst

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Company Overview

This 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. They value autonomy and the ability to quickly pivot to capture opportunities, so they operate using their own capital and trading at their own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, they trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. They have also leveraged their expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. They operate with respect, curiosity and open minds. The people who thrive here share their belief that it’s not just what they do that matters–it’s how they do it. This is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

Senior Data Analyst

As a Senior Data Analyst, the individual will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. They will work closely with a variety of stakeholders, including technology, front office, operations, research, and risk management. The successful candidate 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

• Minimum of 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, Requests, 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.
• Subject matter expert on an asset class outside of Equities, preferably Futures or Bonds (3+ years in a professional environment).
• 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.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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4. No Liability: SpringCube is not liable for inaccuracies.