4166 Sr Support Analyst jobs in Newark,NJ

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Prevention Consultant--Union County

Prevention Links

Kenilworth, NJ 07033

~ 15 min Onsite

Bachelor's Degree in a Human Services related field
Experience in the provision of prevention related programs
At least three (3) years' experience working in non-profit, social service environment in development or implementation of community-based services, prevention programs, or any other human service programs
Experience in implementing evidence-based practice models and other materials related to training, coaching according to policies and procedures
Must be able to perform work responsibilities in various locations
Must be able to speak and write English proficiently
Must be authorized to work in the U.S and New Jersey
Must possess a valid New Jersey Driver's License and an independent mode of transportation
Must be available to attend weekend and evening meetings and events as required
Must be able to walk, stand and sit for long periods of time
Must be able to lift 25 pounds
Must complete all other duties and tasks as requested by the CEO or Division Director
Travel: Domestic travel is required for this full-time position. Local, independent travel is required. Must possess a valid driver's license and method of transportation. Position requires frequent travel within and outside Hudson County. All travel mileage will be reimbursed
Hours per week: 35 Hours/ Week, hourly, non exempt

SmartExplore AI is experimental.

New, Posted 6 hours ago

ZipRecruiter

Development Analyst

COMMUNITY ACCESS

New York, NY 10004

Bilingual Preferred

New, Posted 6 hours ago

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Desktop Support Job Training Program

Year Up United

Newark, NJ 07102

$525/wk

Onsite

A high school graduate or GED recipient
Eligible to work in the U.S.
Available Monday-Friday throughout the duration of the program
Have not obtained a Bachelor?s degree

SmartExplore AI is experimental.

New, Posted 1 day ago

UPS - Warehouse Worker/Package Handler $21+/hr

UPS

Newark, NJ 07104

$21/hr

No Experience

Operations Analyst, Skip Hop

carter's

New York, NY 10261

New, Posted 8 hours ago

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Principal Quant Developer (MLOps)

Fidelity Investments

Newark, NJ 07175

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 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