1057 Fresher Java Developer jobs in New York,NY

Prinicpal Quant Developer

Fidelity Investments

Weehawken, NJ 07086

~ 12 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in a computational field such as Computer Science
Minimum of 5 years of proven professional experience working in financial services (Asset Management experienced preferred)
Proven experience engaging with senior internal and external clients and partners
Experience with **Python** and micro-services / RESTful APIs
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
Strong communication, interpersonal and relationship building skills to influence decisions and engage across Fidelity and at all levels of the organization

SmartExplore AI is experimental.

New, Posted 13 hours ago

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AML Compliance Model Developer – Associate

Santander Holdings USA

New York, NY 10012

Onsite

Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field
3–5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services
Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing
Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing
Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets
Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management
Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT
Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts
Strong analytical, quantitative, and problem-solving skills
Ability to multitask, manage priorities, and work effectively in fast-paced environments
Strong communication, documentation, and stakeholder management skills
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment

SmartExplore AI is experimental.

New, Posted 17 hours ago

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IT Senior Software Developer - Full Stack (Python and JavaScript)

Guidehouse Careers

New York, NY 10025

New, Posted 8 hours ago

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Director, Full-Stack Engineer

BNY

New York, NY 10007

$136,500-$225,000/yr

Urgently Hiring

New, Posted 1 hour ago

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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