767 Python Developer Risk Technology jobs in New York,NY

Bachelor's degree (or equivalent) in Economics, Mathematics, Physics, Engineering, or a related field.
Experience in valuation of financial products and / or market risk management (FX, Rates, Bonds, Equities, CDS, Convertibles, Fixed Income Structured products (RMBS, CMO, MBS, CLO,…).
Experience in knowledge of market products, obtaining inputs for valuation and market information systems (Bloomberg, Reuters, ICE, Market, etc.).
Development of analysis tools and prototypes for defined market data feed (mainly in VBA or Python).
Strong Excel, Excel VBA and Python a must
Knowledge in market data and financial products.
Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.

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Business Director- Card Technology Strategy

Capital One

New York, NY 10012

OnsiteUrgently HiringHealth Insurance

Bachelor's Degree
At least 4 years of experience performing quantitative analysis
At least 4 years of experience performing qualitative analysis
At least 2 years of experience performing people management
At least 2 years of experience performing project management

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Digital Assets Risk Manager - Crypto & Blockchain

Fidelity Investments

Harrison, NJ 07029

$80,000-$153,000/yr

~ 23 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5+ years of relevant work experience, ideally building crypto/blockchain products and services
Bachelor's degree required

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CIB Market Risk Associate

Santander Holdings USA

New York, NY 10025

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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

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Business Development Executive, Intellium

New York, NY 10017

Requires TravelUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelors Degree; CPCU, and/or ACII experience
3+ years in the insurance industry experience successfully quoting, engineering and/or underwriting
Knowledge of property forms, HPR engineering, competitors and brokers
Proficiency with computers and associated software such as Excel, PowerPoint and Word

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