27 days ago
Responsibilities
- Design, build, maintain, and optimize Snowflake cloud-native data pipelines and data lake architectures for asset-based finance investment and portfolio analytics.
- Develop scalable ETL/ELT workflows to ingest, transform, and curate structured and unstructured data.
- Support analytics and reporting through data reconciliation, validation, cleaning, de-duplication, and financial data integrity checks.
- Support migration from legacy systems through data mapping, transformation logic, and architecture alignment.
- Translate quantitative financial logic, including cashflow models, predictive models, backtesting, and calibration, into scalable data solutions.
- Break down work into Jira epics and user stories and support project planning, timelines, and cross-team coordination.
- Assist with testing, cutover planning, go-live readiness, stakeholder alignment, and operational readiness.
Requirements
- 8+ years of overall experience in data engineering or a related field.
- Demonstrated experience building, maintaining, and optimizing data pipelines and workflows.
- 5+ years of advanced SQL experience, including common table expressions, complex window functions, conditional logic, joins, and aggregations.
- 5+ years of professional Python development for efficient processing of complex datasets and automation using Polars, Pandas, or equivalent tools.
- Experience with quantitative finance, including cashflow models, predictive models, backtesting, and calibration.
- Industry expertise in mortgage whole loans and RMBS is preferred; structured credit experience and credit risk and fixed-income fundamentals are helpful.
- Experience leading full-lifecycle projects spanning requirements, design, build, testing, cutover planning, and go-live execution.
- Strong communication, stakeholder-alignment, and change-management abilities.
Benefits
- Full-time position based in New York, USA.
- Opportunity to work at an AI-first digital transformation and engineering company.
- Exposure to Fortune 500 companies and innovative market disruptors.
- Exposure to technologies related to artificial intelligence, machine learning, data, and cloud.
- Opportunity to work with a global and diverse team in a culture emphasizing transparency, diversity, integrity, learning, and growth.
About Quantiphi
Quantiphi is an AI-first digital engineering and consulting firm that designs and implements machine learning, data, and cloud solutions for large enterprises across industries. Its teams build production systems—such as generative AI applications, computer vision, and predictive analytics—primarily on Google Cloud and other hyperscalers, delivered as professional services and managed solutions. Founded in 2013 and headquartered in Marlborough, Massachusetts, the company is privately held and a Google Cloud partner.