1702 Core Java Backend Developer jobs in New York,NY

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 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
Progress towards CFA (or equivalent) a plus

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Regional Director of Facilities Operations

ASPCA

New York, NY 10128

$128,000-$136,000/yr

OnsiteUrgently HiringBilingual PreferredHealth InsurancePaid Time OffRetirement Benefit

Minimum of 5 years of experience in facilities and project management
Bachelor's degree in facilities management related field (preferred)
Qualifying certificate in Facilities Management
Valid driver's license required
Language: English (Required), Spanish
Proven experience leading managers and teams across multiple locations
Extensive knowledge of building systems including electrical, power distribution, HVAC and controls, elevator systems, fire alarm and suppression systems, building security, energy management, and Building Management Systems (BMS)
Proficient in computerized maintenance management systems (CMMS) and work order platforms
Skilled in reading, interpreting, and preparing technical documents such as blueprints, plans, specifications, schematics, and training manuals
Familiarity with local regulatory agencies including DOB, FDNY, ECB, and EPA
Deep knowledge of safety protocols, fire prevention, and OSHA compliance
Proven ability to lead facility planning, capital projects, and operational execution across multiple properties
Demonstrated success in managing complex, multi-site facilities and coordinating concurrent projects
Strong negotiation skills and vendor management experience
Demonstrated expertise working with unionized teams, including a strong understanding of labor contracts and collective bargaining negotiations
Willingness and ability to travel routinely between assigned properties
Exceptional written and verbal communication skills
Ability to collaborate effectively across departments and with external partners
Strong interpersonal skills and demonstrated ability to lead and motivate diverse teams
Capable of representing the organization professionally and collegially with internal and external stakeholders
Experience with data tracking, reporting, and analysis to support operational decisions
Ability to exemplify ASPCA's core values, behavioral competencies, and commitment to diversity, equity, and inclusion
Language proficiency: English (Required), Spanish