1231 K2 Nintex Developer Full Stack Developer jobs in New York,NY

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Work From Home Insurance Sales - Entry Level

Globe Life - Moore Organization - New York, NY

Work From Home Insurance Sales - Entry Level

RemoteHealth InsuranceRetirement Benefit

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Principal Quant Developer

Fidelity Investments

Elizabeth, NJ 07202

~ 32 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Minimum of 7 years of proven professional experience working in financial services (Asset Management experienced preferred)
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
Proven ability to capture requirements and formulate plans by partnering with various stakeholders
Bachelor's degree in a computational field such as Computer Science

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Youth Development Specialist - Relocation to Hershey, PA Required

Milton Hershey School

Garfield, NJ 07026

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Principal Quant Developer (MLOps)

Fidelity Investments

Weehawken, NJ 07086

~ 12 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
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
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 R, 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
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated 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 R and 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

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Barefoot Student

Junior frontend developer

Latech Apps

New York, NY 10025

Enterprise Applications Developer (Hybrid)

Institute of International Education

New York, NY 10007

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Regional Director

AMERICAN MANAGEMENT ASSOC.

New York, NY 10019

Onsite

BA/BS degree required
MBA or advanced studies desired
3-5 years of demonstrated successful selling professional services
Proven track record of meeting or exceeding aggressive quotas in a B to B environment
Residency within commuting distance to AMA's Headquarters in New York City preferred
Excellent verbal and written skills required
Proven self-starter who can work both as a collaborative team member and as an independent salesperson
Experience working with/selling to senior executives
Proven success in sales is required
Must be willing to prospect and have a high energy level
Proficient in SalesForce.com and MS Office
Travel in accordance with business need
Account growth and business development for Midmarket Sales and Government accounts in respective territories

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