Phaxis ยท 13 hours ago
Data Engineer-Finance
Phaxis is seeking a Data Engineer-Finance to lead data connectivity initiatives. The role involves defining product roadmaps for AI tooling, collaborating with various teams to implement data connectors, and ensuring the reliability of financial data for analytics and AI models.
DeliveryHuman ResourcesStaffing Agency
Responsibilities
Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in a fast-paced, Agile environment
Translate business needs and product strategy into detailed requirements and user stories
Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to internal and external financial datasets
Partner with data engineering teams to ensure reliable data ingestion, transformation, and availability for analytics and AI models
Evaluate and work to onboard new data sources, ensuring accuracy, consistency, and completeness of fundamental and financial data
Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms
Monitor and analyze product performance post-launch to drive ongoing optimization and inform future investments
Facilitate alignment across stakeholders, including engineering, research, analytics, and business partners, ensuring clear communication and prioritization
Qualification
Required
Bachelor's degree in Computer Science, Finance, or related discipline. MBA/Master's Degree desired
5+ years of experience in a similar role
Strong understanding of fundamental and financial datasets, including company financials, market data, and research data
Proven experience in data integration, particularly using APIs, data connectors, or ETL frameworks to enable AI or analytics use cases
Familiarity with AI/ML data pipelines, model lifecycle, and related tooling
Experience working with cross-functional teams in an Agile environment
Strong analytical, problem-solving, and communication skills with the ability to translate complex concepts into actionable insights
Prior experience in financial services, investment banking, or research domains
Excellent organizational and stakeholder management abilities with a track record of delivering data-driven products
Preferred
Deep understanding of Python, SQL, or similar scripting languages
Knowledge of cloud data platforms (AWS, GCP, or Azure) and modern data architectures (data lakes, warehouses, streaming)
Familiarity with AI/ML platforms
Understanding of data governance, metadata management, and data security best practices in financial environments
Experience with API standards (REST, GraphQL) and data integration frameworks
Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives