Data Analytics Associate supporting insights and analysis for Baker Tilly's service lines. Collaborating with teams to develop business critical analysis and reporting for data driven decisions.
About the role
- Quantitative Analyst developing and maintaining digital asset indices at CoinDesk Indices. Responsible for data management and ensuring benchmark accuracy in financial markets.
Responsibilities
- Maintain single and multi-digital asset indices, including overseeing daily validations and monitoring as well as performing index reconstitutions using Python.
- Troubleshoot and address production related issues, identifying root cause and recommending operational improvements to prevent future occurrences.
- Assist with the development, backtesting and validation of new digital asset indices and responsible for productionizing and integrating new indices into calculation systems and processes.
- Monitor and interpret digital asset token events and assist with the classification of tokens.
- Review and perform analysis on existing indices to support potential modifications to methodologies.
- Work with large, complex datasets, including time series data, to ensure data quality and integrity through rigorous surveillance and processing.
- Oversee and run validation models to test new and existing quantitative models, ensuring their reliability and validity.
- Stay current with academic and industry research to inform new index ideas and methodologies.
- Work closely with engineers to define technical requirements and test new releases.
- Address client inquiries and troubleshoot issues related to index data and methodologies.
- Create and maintain comprehensive documentation for all operational processes, controls, and index methodologies.
Requirements
- Bachelor's or advanced degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
- Proven experience as a quantitative developer or in a similar quantitative role, with a minimum of 2 years of relevant work experience.
- Strong proficiency in programming languages, particularly Python.
- Familiarity with SQL is also highly desirable.
- Solid understanding of mathematics and statistics, including concepts like time-series analysis.
- Knowledge of financial markets, derivatives, and financial instruments.
- Experience working with large datasets, including data cleaning, processing, and analysis.
- Exceptional analytical and problem-solving skills, with a strong attention to detail.
- Familiarity with digital assets and blockchain technology is a significant plus.
- Excellent written and verbal communication skills.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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