- Bachelor’s or master’s in computer science, engineering, or a related quantitative field
- 5+ years of experience working with financial datasets, preferably in buy-side (hedge fund) or capital markets environments, including renowned data providers such as Bloomberg, ICE, or LSEG
- Strong programming skills in Python and SQL; experience building and maintaining ETL/ELT pipelines working with orchestration tools is preferred
- Hands-on experience with AWS, including services such as S3, Aurora, Athena, Redshift, and Lambda
- Experience with CI/CD practices and AWS-native tooling
- Familiarity with data governance, lineage, and data quality frameworks
- Solid understanding of financial data concepts, including market data, security masters, time-series data, and reference data across asset classes (e.g., commodities, fixed income, FX, digital asset, etc.)
Applicants must be authorized to work in the U.S. without the need for employer-sponsored work authorization, now or in the future.
MIO has adopted a flexible, hybrid model that supports a blend of in-office and remote work. Our office is in New York City.
Certain US states require MIO Partners, Inc. to include a reasonable estimate of the salary range for this role. Actual salaries may vary and may be above or below the range based on various factors, including, but not limited to an individual’s assigned office location, experience, and expertise. Certain roles are also eligible for bonuses, subject to MIO’s discretion and based on factors such as individual and/or organizational performance.
Additionally, MIO offers a comprehensive benefits package, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement program, financial guidance, and paid time off.
Base salary range
$160,000—$160,000 USD
We are committed to protecting your privacy. Please review our Applicant Privacy Policy for a detailed explanation of how we collect, use, and protect your personal information.