We are seeking a Senior Snowflake Developer to design, optimize, and enhance the Market Risk Time Series infrastructure built on Snowflake. This role requires deep expertise in Snowflake development, schema design, and performance tuning, combined with strong Python skills and domain knowledge in market risk. The candidate will work closely with the Market Data team and Risk stakeholders to ensure accurate, scalable, and auditable data solutions for VaR and SVaR calculations.
Primary Responsibilities:
Design and implement efficient and bi-temporal schemas leveraging micro-partitioning and clustering keys for optimal performance.
Develop and optimize SQL queries, stored procedures, and Snowpark-based transformations.
Implement query performance tuning and cost optimization strategies.
Build and maintain Python-based ETL/ELT pipelines for sourcing historical market data from internal and external providers.
Integrate with quant libraries to identify data quality issues and validate risk inputs.
Detect and remediate common data quality issues (gaps, stale data, outliers).
Implement algorithms for gap-filling, back-filling, and anomaly correction to ensure data is fit for VaR and SVaR calculations.
Essential Experience/ Skills:
Snowflake Expertise
Programming
Personal Attributes:
Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.
Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.
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