974 Statistical Modeling jobs in Paterson, NJ

Recommended

Apply Directly

AVP, Model Validation

Synchrony Financial

New York, NY 10012

Remote

4+ years of experience with the application of US regulatory requirements for Model Risk Management
Knowledge of Credit Card/Consumer Finance products and business model
4+ years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake, H2O, SageMaker and AWS
Excellent written and oral communication and presentation skills
Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field
4+ years' experience in model development / model validation experience in financial services, banking, or retail
4+ years of statistical analysis and the handling large amounts of data and analyzing for trends
5+ years of proven experience in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline
Experience with Machine Learning / AI methodologies and related applications, including generative AI model validation and validation framework development
Ability and flexibility to travel for business as required
Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables

SmartExplore AI is experimental.

New, Posted 12 hours ago

Recommended

Apply Directly

Lead Data Scientist - Spectrum Reach

Spectrum

New York, NY 10036

7+ years of experience in SQL, R or Python programming
Expertise with SQL and large datasets, including efficient data transformation and storage at scale
Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience
Solid theoretical foundation in major machine learning models including regression, classification, clustering, neural networks and large language models
Command of advanced mathematics including calculus, PDEs, probability and statistics, with ability to independently learn new concepts
Effective synthesis and presentation skills for sharing results and recommendations
Proficiency with commercial cloud platforms such as AWS, Azure or GCP
Demonstrated commitment to expanding skill set and fostering learning within the team
7+ years of experience in data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA or Engineer
Experience with multi-series time series forecasting at scale
Mastery of R and/or Python for advanced analytics and AI/ML applications
Strong understanding of data architecture and data warehousing
Ability to communicate complex findings to varied audiences

SmartExplore AI is experimental.

Recommended

Principal Quant Developer

Fidelity Investments

Secaucus, NJ 07094

Hybrid~ 20 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

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 create REST APIs (using FAST API and Flask) leveraging AWS resources including Lambda, S3, EKS and EC2.
Thoughtfully apply advanced analytics and quantitative concepts to support investment needs and develop new solutions.
Domain knowledge in either equities, fixed income or alternative asset classes
Deep understanding of quantitative techniques and methods, statistics and econometrics – including probability, linear regression and time series data analysis
Experience implementing CI/CD and DevOps best practices. Perform Continuous Integration (CI) and Continuous Deployment (CD) pipelines (using Linux and Jenkins), code versioning using GitHub.
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation.
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
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.
Expert in Python with experience across the development stack (full stack)
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.
A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community
Exposure to object-oriented programming (OOP) and design patterns
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python. This includes developing time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms to build investment strategies.
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.