• Build and lead a team focused on building, consolidating, and integrating a data warehouse that will support the Wealth Management line of business
• Meet regularly with business stakeholders to understand business context and inform on strategy
• Build meaningful relationships with relevant stakeholders and effectively partner to remove organizational obstacles and guide cross-team strategic efforts
• Act as agile/product champion by enabling product teams and partnering with other leaders to drive empowerment, autonomy, engineering momentum, and business value
• Foster a culture of empowerment, engineering excellence, and growth
Requirements
- Bachelor's degree, or equivalent work experience
- 10 or more years of relevant software engineering experience
- Six or more years of experience leading multiple software engineering teams
- Broad and deep leadership experience across Capital Markets in the Equities and Fixed Income space
- Must be able to clearly articulate a multi-generational plan with adherence to a long-term strategy of technology intertwined with business strategy
- Prior track record of implementing large scale transformation within Capital Markets
- Expert understanding and managing Security Master Implementations for large swath of tradable securities, globally
- Expert understanding of Transactional Trade data and empowering teams to build Market intelligence from that dataset
- Corporate Bond [HY or IG] Electronic Trading market structure
- Expert Level Data Modeling for robust, scalable datasets ensuring data quality governance
- Equity & Equity Option Trading Market Structure
- Deep understanding of Market Data including Aggregated, Consolidated and Montage books
- Deep understanding of financial calculations such as VaR, RWA and various risk measurements
- Deep Understanding of Post Trade Feed flows including calculations for settlement
- Understanding of Risk including DV01, CR01 and generally what these numbers indicate
- Understanding of strategies used to position inventory sectors
- Understanding of micro-market structures and typical areas exploited by Algorithmic partners
- Understanding of any Regulatory organizations
- Must have Java expertise [writing, tuning, configuration driven]
- Python fundamentals / Spark
- Deep experience with Messaging [JMS or native]
- Understanding of Spring, Maven and Docker
- Experience with Relational Databases [Postgres or Oracle preferred]
- Highly skilled in Linux scripting, troubleshooting and host tuning
Core Competencies
Demonstrates extensive leadership in software engineering, particularly within Capital Markets, with a focus on building and integrating data warehouses to support Wealth Management. Possesses expert knowledge in data modeling, security master implementations, and financial calculations, ensuring alignment of technology with business strategy.
Highest-signal resume keywords
- Leadership In Software Engineering
- Expert Understanding Of Security Master Implementations
- Data Modeling For Scalable Datasets
- Java Expertise
- Experience In Capital Markets
ATS Optimization Keywords
Hard Skills
- Software Engineering
- Data Modeling
- Security Master Implementations
- Financial Calculations
- Java
- Python
- Messaging
- Relational Databases
- Linux Scripting
- Market Data Analysis
Soft Skills
- Stakeholder Engagement
- Team Leadership
- Empowerment
- Strategic Thinking
- Relationship Building
Industry Keywords
- Capital Markets
- Equities
- Fixed Income
- Corporate Bond Trading
- Market Intelligence
- Post Trade Feed Flows
- Algorithmic Trading
- Regulatory Compliance
Tools & Technologies
- Spring
- Maven
- Docker
- Postgres
- Oracle
- JMS