5 дней назад
Data Analyst, Exploration (Fintech)
100 000 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst, Exploration (Fintech): Analyzing, onboarding, and maintaining datasets used by traders and quantitative researchers with an accent on data profiling, quality measurement, and dataset lifecycle management. Focus on resolving complex production data issues, improving data assets, and collaborating with data engineering, research, technology, operations, and risk teams.
Location: Chicago, United States
Annual base salary: $100,000–$120,000, depending on experience, qualifications, and relevant skills. Eligible for an annual discretionary bonus.
Company
is a diversified trading firm using technology and proprietary capital across financial markets, with additional strategies in real estate, venture capital, and cryptoassets.
What you will do
- Analyze and profile new datasets, identify collection and storage requirements, and surface insights for data strategists and front-office stakeholders.
- Measure data quality across completeness, validity, accuracy, timeliness, and consistency.
- Curate data catalog entries so research data assets are accurately represented and discoverable.
- Support datasets throughout their lifecycle, answer content inquiries, and coordinate with external data vendors.
- Monitor and resolve production data issues while coordinating support across global teams.
- Identify opportunities to improve datasets and data management processes.
Requirements
- 1–2 years of relevant experience.
- Foundational knowledge of financial instruments and market data symbology, with interest in developing further expertise.
- Proficiency with SQL and Python for exploratory data analysis, including PySpark, pandas, NumPy, and Jupyter Notebooks.
- Ability to document and clearly explain complex data analysis findings.
- Exceptional attention to detail, effective communication, and the ability to work independently and collaboratively.
Nice to have
- Experience with AWS Athena, Amazon S3, Linux, Bash, Git, Apache Airflow, or similar tools.
- Experience developing data quality checks or reports and understanding of data management principles.
- Prior experience using the Bloomberg Terminal.
Culture & Benefits
- High-autonomy environment focused on innovation, integrity, curiosity, and challenging consensus.
- Group medical, pharmacy, dental, and vision insurance.
- 401(k) with discretionary employer match, disability, life, and AD&D insurance.
- Health savings accounts and flexible spending accounts.
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