JPMorgan SR Director eSoftware Engineering - KDB / Derivatives Analytics Lead 

United States, New York, New York 

153623418

Job responsibilities

• Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
• Directly manages multiple areas with strategic transactional focus
• Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
• Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
• Manages multiple stakeholders, complex projects, and large cross-product collaborations
• Influences peer leaders and senior stakeholders across the business, product, and technology teams
• Champions the firm’s culture of diversity, equity, inclusion, and respect
• Collaborate closely with Equity Derivatives Product and Quant Research team to manage Data Technology book of work and take full accountability of project delivery
• Hire and retain talent, mentor technical leads/engineers and promote a culture of experimentation and strong delivery ethic.
• Lead architecture and design conversations with technical leads across multiple parts of the wider Equities Technology organization.
• Work with Production support and DevOps teams to establish and monitor SLAs, refine and execute resiliency and recovery plans

Required qualifications, capabilities, and skills

• Experience developing or leading large or cross-functional teams of technologists
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
• Experience leading complex projects supporting system design, testing, and operational stability
• Experience with hiring, developing, and recognizing talent
• Extensive practical cloud native experience
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Hands-on experience working as a developer on full stack ticker plant implementations in KDB+/q
• Experience leading large globally distributed teams (25+ individuals) of engineers, technical leads and managers
• Solid grounding in architecting and designing complex data applications involving both streaming and batch data pipelines
• Strong domain knowledge in Equities Trading – market microstructure, pre-trade analytics, trading cost analysis

Preferred qualifications, capabilities, and skills

• Knowledge and experience working in Equity Derivatives Trading / Market data domains
• Cloud computing for Data analytics – data lakes/lakehouse, distributed query engines and warehouses
• Experience with implementation of data management solutions covering data quality, lineage and observability.
• Automation of software delivery – unit/integration testing, Continuous Integration & Deployment, pipeline as code
• Knowledge and experience of conventional and ML techniques for time series analytics, anomaly detection and NLP
• Current or prior experience working as data engineer or data scientist leveraging python language & tools – pandas/polars, ray, dask, spark