Remote C++ Developer Jobs

Requirements

• Master's degree in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field
• 1 year of experience in the job offered or in a related role
• Prior experience with Master's degree or 3 years of experience with Bachelor's degree
• Working with Counterparty Credit Risk Models
• Performing-testing analysis of statistical models
• Scripting with Python and working with relational databases and SQL
• Pricing and risk analysis of derivative products
• Performing model development, testing, validation, and issue remediation

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Stock Options
• Training Budget

Skills

Requirements

• Analyze the conceptual soundness of complex pricing models and reserve methodologies
• Develop and implement alternative benchmark models
• Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage
• Serve as the first point of contact for the coverage area
• Excellence in probability theory, stochastic processes, statistics, and numerical analysis
• Strong understanding of option pricing theory and quantitative models for derivatives
• Experience with numerical methods such as Monte Carlo and PDE
• Strong analytical and problem-solving abilities

Benefits

• Remote Work
• Retirement Plan
• Training Budget
• Wellness Programs
• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus

Skills

Requirements

• Design and lead test approaches for AI-driven, mission-critical systems
• Validate agent behaviours, data pipelines, and end-to-end operational workflows
• Work embedded with AI, Backend, Frontend, and DevOps teams
• Shape how we validate agent behaviours, data pipelines, and end-to-end operational workflows
• Collaborate with the team to ensure correctness, resilience, and security of AI systems

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work
• Remote Work Stipend

Skills

Requirements

• Master’s degree in Financial Mathematics, Finance, Business Analytics, Statistics, Econometrics, or a related field
• Two (2) years of experience in the job offered or in a related quantitative occupation
• Performing quantitative modelling, numerical analysis, and computational methods using programming languages
• Performing financial modeling techniques, including value-at-risk type of models, interest rate models, risk quantification and forecast models
• Using data summary and visualization, hypothesis testing, estimation, regressions, time series analysis, and machine learning
• Conducting independent research, analyzing problems, developing numerical experimentation and testing, producing results, and assessing complex financial models

Skills

Requirements

• Master's Degree or PhD in a quantitative discipline
• 7 years of modelling experience in financial services
• Experience with complex quantitative modelling, numerical analysis, and computational methods
• Ability to manage diverse group of stakeholders
• Strong analytical background with a solid theoretical foundation
• Advanced computational programming, technical documentation, and communications skills
• Demonstrated ability to manage model risk holistically
• Ability to behave ethically and adhere to BNY's standards

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan
• Training Budget
• Wellness Programs

Skills

Requirements

• Bachelor’s degree or equivalent practical experience
• 2 years of experience with coding in C++, or 1 year of experience with an advanced degree
• 1 year of experience with application programming interface (API) design
• 1 year of experience with reliability analysis
• Master's degree or PhD in Computer Science, or a related technical field
• 2 years of experience with Stubby
• 2 years of experience with server platform
• 2 years of experience with Pod

Benefits

• 401k Matching
• Equity
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Master's Degree or PhD in a quantitative discipline
• Strong understanding of regulatory guidance
• 5 years of modelling experience in financial services
• Experience with complex quantitative modelling
• Numerical analysis and computational methods
• Programming languages (Python, Project R, C/C++, C#, Java, FORTRAN, MATLAB, SAS)
• Mathematical/statistical software packages

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Master's Degree or PhD in a quantitative discipline
• Strong understanding of regulatory guidance
• 5 years of modelling experience in financial services
• Experience with complex quantitative modelling
• Numerical analysis and computational methods using programming languages
• Mathematical/statistical software packages

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• At least nine years of relevant experience
• Five years in pricing or market risk model validation
• Masters or PhD level knowledge on quantitative finance-oriented subject
• Hands on expertise on coding using Python/C++
• CQF certification is a strong added advantage

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Bachelor’s degree or equivalent practical experience
• 2 years of experience with coding in C++
• 1 year of experience with Application Programming Interface (API) design
• 1 year of experience with reliability analysis
• Master's degree or PhD in Computer Science
• 2 years of experience with Stubby
• 2 years of experience with server platform
• 2 years of experience with Pod

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Equity

Skills

Requirements

• Master's Degree or PhD in a quantitative discipline
• 7 years of modelling experience in financial services
• Experience with complex quantitative modelling, numerical analysis, and computational methods
• Ability to manage diverse group of stakeholders
• Strong analytical background with a solid theoretical foundation
• Advanced computational programming, technical documentation, and communications skills
• Demonstrated ability to manage model risk holistically
• Ability to behave ethically and adhere to BNY's standards

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan
• Training Budget
• Wellness Programs

Skills

Requirements

• Master's Degree or PhD in a quantitative discipline
• 7 years of modelling experience in financial services
• Experience with complex quantitative modelling, numerical analysis, and computational methods
• Ability to manage diverse group of stakeholders
• Strong analytical background with a solid theoretical foundation
• Advanced computational programming, technical documentation, and communications skills
• Demonstrated ability to manage model risk holistically
• Engage proactively with control functions

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan
• Training Budget
• Wellness Programs

Skills

Requirements

• Deep experience across the full end-to-end development lifecycle of an automated driving system (ADS) technology driven by artificial intelligence and machine learning models.
• Strong AI domain expertise across safety engineering, data lifecycle management, model development, verification and validation, frameworks and tools, and operational assurance.
• Ability to stay current on industry best practices and standards while guiding the development of GM's AI safety strategy for autonomous vehicles (AV).
• Experience driving the technology development and validation of AI models for safety-critical applications.
• Ability to engage deeply with stakeholders to understand their challenges and needs, collaborate on new AI/ML solutions, and evaluate the safety of models and cloud environments to support safety-critical applications.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• 4+ years of Quantitative Analytics experience
• Master's degree or higher in a quantitative discipline
• Strong mathematical, statistical, analytical and computational skills
• Strong communication skills for a variety of audiences
• Ability to multi-task and finish work within strict timelines
• Ability to work independently on complex model validations
• Perpetual interest in learning something new
• Attention to detail in both analytics and documentation

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan
• Training Budget

Skills

Requirements

• Develop and execute technical strategy for internal platform capabilities
• Partner closely with cross-functional teams across the company
• Build infrastructure to enable sophisticated threat detection and forensic investigation
• Produce threat intelligence and insights
• Accelerate response to safety and security incidents
• Ensure justified confidence in the safety and security of Microsoft's generative AI products
• Provide infrastructure for AI safety and security
• Serve as a coordination point for all things AI incident response

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 7 years of experience managing projects and defining project scope, goals, and deliverables.
• Master's degree in a quantitative discipline.
• 7 years of experience with machine learning systems.
• 7 years of experience with one or more of the following languages: SQL, R, Python, or C++.
• Experience with modeling, experimentation, and causal inference.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills