658 Process Analysis jobs in Brooklyn,NY

New, Posted 23 hours ago

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Solar Sales | Paid Training | $5K Bonus | Pre-Set Appts | $150K+ 1st. Yr.

Momentum Solar - New York

Yonkers, NY 10701

$5,000 bonus

~ 42 min OnsiteUrgently HiringFlexible ScheduleHealth InsuranceRetirement Benefit

Valid driver's license and reliable transportation

SmartExplore AI is experimental.

New, Posted 1 day ago

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Property Adjuster Specialist - Field

USAA

New York, NY 10013

RemoteHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or General Equivalency Diploma.
2 years of relevant property claims adjusting experience of moderate complexity losses that includes writing estimates, involving dwelling and structural damages.
Advanced knowledge of estimating losses using Xactimate or similar tools and platforms.
Proficient knowledge of residential construction.
Proficient knowledge of property claims contracts and interpretation of case law and state laws and regulations.
Proficient negotiation, investigation, communication, and conflict resolution skills.
Proven investigatory, analytical, prioritizing, multi-tasking, and problem-solving skills.
Ability to travel 50-75% of the year (local & non-local) and/or work catastrophe duty when needed.
Acquisition and maintenance of insurance adjuster license within 90 days and 3 attempts.
Successful completion of a job-related assessment may be required.
Active Property & Casualty adjuster license

SmartExplore AI is experimental.

New, Posted 1 day ago

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Driver - Pick-up and Deliver

DoorDash

Brooklyn, NY

OnsiteFlexible Schedule

18+ years old
21+ to deliver alcohol
Any car, scooter, or bicycle (in select cities)
Driver's license number
Social security number (only in the US)
Consistent access to a smartphone

SmartExplore AI is experimental.

New, Posted 22 hours ago

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Property Adjuster Specialist - Field

USAA Careers

New York, NY 10025

New, Posted just now

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Customer Service Sales Representative

CarMaxCarmax

East Meadow, NY 11554

~ 43 min OnsitePaid Time Off

Strong communication skills with confidence in representing CarMax and its products.
Ability to build lasting relationships and create win-win solutions for customers.
Demonstrated integrity, respect, and teamwork in a fast-paced environment.
Skilled in balancing customer needs with business goals and following processes accurately.
Ability to manage multiple tasks, maintain attention to detail, and meet deadlines.
High School Diploma or equivalent and a valid driver's license.
Ability to lift up to 25 lbs and accurately read and transcribe data.

SmartExplore AI is experimental.

New, Posted 22 hours ago

Senior Analyst, Corporate Strategy

ESPN Careers

New York, NY 10025

$162,200/yr

New, Posted 22 hours ago

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Sr Product Manager II, Data Product Management

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$163,100-$218,700/yr

New, Posted 10 hours ago

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Citizens Teller - Part Time

Citizens Careers

Brooklyn, NY 11226

$21/hr

Flexible Schedule

ResumeLibrary

Sales Support Assistant, Group Sales

Six Flags

Old Bridge, NJ 08857

~ 54 min Onsite

Minimum age of 16.
Proficiency in Microsoft Office Suite and familiarity with Windows.
Experience with Salesforce CRM and related software.
Strong problem-solving, time management, and attention to detail.
Excellent written and verbal communication skills.
Customer service experience via phone and email.
Friendly, outgoing personality.
Ability to pass a drug test and background check if 18 or older.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Principal Quant Developer (MLOps)

Fidelity Investments

North Bergen, NJ 07047

~ 31 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