951 Software Engineer Macro Quant Analytics jobs in New York,NY

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Principal Quant Developer

Fidelity Investments

Secaucus, NJ 07094

~ 18 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Minimum of 7 years of proven professional experience working in financial services
Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy)
Experience with Python and micro-services / RESTful APIs
Proven ability to design highly scalable and low latency systems
Experience working on AWS cloud environment and working knowledge of CI/CD & DevOps
Strong experience in system architecture, design patterns and software engineering fundamentals such as OOP, functional programming, data modeling.
Advanced understanding of data structures
Bachelor's degree in a computational field such as Computer Science

SmartExplore AI is experimental.

New, Posted 1 day ago

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Software Engineer II - Ad Platform, CRM Analytics

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

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Principal Quant Developer

Fidelity Investments

Newark, NJ 07175

~ 28 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
Strong, demonstrable knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes
Proven track record of delivering production quant solutions in a systematic investing or trading environment
Skilled in SQL databases (Oracle)

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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

New, Posted 23 hours ago

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Senior Applied Scientist, Fauna

Amazon.com Services LLC

New York, NY 10261

Urgently Hiring

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Manager, Software Project Management (New York, NY - US)

Energy Solutions

New York, NY 10279

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Senior Manager, People Analytics

Chobani

New York, NY 10012

New, Posted 14 hours ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

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

Senior Software Engineer - Build Tooling Infrastructure

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$141,900-$190,300/yr

Head of Engineering for Wealth Management

MassMutual

New York, NY 10025

Onsite

15+ years of progressive technology leadership experience, including leadership of large-scale software engineering organizations.
Experience leading organizations of 75+ engineers across multiple disciplines and geographic locations.
Proven track record modernizing enterprise platforms through cloud-native architectures, microservices, APIs, and event-driven systems.
Deep experience delivering customer-facing platforms in wealth management, capital markets, banking, fintech, retirement, or financial services.
Demonstrated success partnering with executive stakeholders to align technology investments with business outcomes.
Experience managing large-scale digital transformation initiatives with measurable business impact.
Must have Series 99 or ability to obtain it within 6 months.

SmartExplore AI is experimental.