655 Java Trading Systems Real Time Data jobs in New York,NY

Sr. TPM, GenAI, Catalog Systems

Amazon.com Services LLC

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

7+ years of working directly with engineering teams experience
5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

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Senior Associate, Interest Rate Derivatives Trade Desk Support

BMO Financial

New York, NY 10007

OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

7+ years of business-related experience in the financial services industry
University Degree/College Diploma in related discipline
In depth knowledge of the following products: Interest Rates Swaps, Inflation Swaps, Swaptions, CapFloors, Futures, Bonds
Knowledge of Financial Markets and Regulatory oversight bodies
Strong written and oral communication skills
Ability to work under tight deadlines independently or in a team-based environment
Strong investigation and problem-solving skills and attention to details
Demonstrates analytical thinking and sound judgement when making decisions
Good organizational skills, highly motivated and adaptable to a changing business environment
Good understanding of business unit's risk and regulatory requirements
Good understanding of internal business partner's business, services and organization
Knowledge of departmental systems and applications supporting a range of Financial Products
Advanced Microsoft Office skills particularly in Excel

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

SmartExplore AI is experimental.

New, Posted 1 day ago

ResumeLibrary

Implementation Manager – Personalization & Customer Data Platforms (Sitecore Preferred)

BrainTrust

New York, NY 10001

New, Posted 2 hours ago

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Associate, Securitized Products, Trade Desk Support

BMO Financial

New York, NY 10007

OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

Typically between 2- 3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Knowledge and experience using relevant systems and technology – In-depth.
Knowledge and understanding of the business unit's key products and services, processes and controls – In-depth.
Knowledge of the risk and regulatory requirements of the business – In-depth.
PC skills (MS Word, Excel, PowerPoint) – In-depth.
Technical proficiency gained through education and/or business experience.
Data driven decision making - In-depth.

SmartExplore AI is experimental.

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