Staff Auditor jobs in United States, New York, New York
MongoDB Staff Software Engineer Query United States, New York, New York
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- 10+ years of experience in data management systems
- Experience with building production-level code with a large user base, robust design structure and rigorous code quality
- Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
- Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
- Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain
- Be directly responsible for delivering on goals which span a 6-18 month timeframe
- Play a key role in defining the roadmap for the next 12 months
- Write well tested, production-ready code in C++ (our test infrastructure also leverages Python and Javascript)
- Research state-of-the art query systems to inform our design
- Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction
- Advise management on decisions related to roadmap, processes, architecture and design
- Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
- Influence and grow team members through active mentoring, coaching and leading by example
- Help cultivate a strong talent bench through interviewing, mentoring and knowledge sharing
- In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system
- In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems
- In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team
These jobs might be a good fit
Bank Of America Market Risk Auditor United States, New York, New York
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Responsibilities for this role include:
Assessing the control environment effectiveness of market risk measurement and valuation processes within Global Markets Risk and Global Markets, providing independent challenge to existing approaches as needed.
Working flexibly as part of the global team on audit projects as required, including providing subject matter expert support to other teams within Corporate Audit.
Performing thorough technical analyses and summarizing results in concise and impactful report conclusions for distribution and presentation to senior management and bank regulators.
Proposing and executing test programs as part of day-to-day audit work.
Developing and managing independent relationships with stakeholders across first and second lines.
Maintaining timely and relevant knowledge and awareness of business, industry, and regulatory trends, best practices, and standards.
Close work with a support development team to enhance and automate testing by leveraging new technologies and artificial intelligence.
Master’s degree in related field or equivalent work experience
Required Qualifications:
Has a minimum 5-8+ years of experience in risk management, price verification, quant or trading group in a bank or other financial institution, or in audit covering those functions, or minimum 5-8+ years of alternative relevant experience.
Has practical experience managing, performing, and/or assessing traded market price risk processes, e.g. market risk exposure measurement, management, or reporting; limit setting, monitoring, or management; regulatory capital requirement calculation; or stress testing.
Has sustained experience effectively communicating with first-line markets trading and second-line risk management audiences/stakeholders.
Has strong knowledge of financial instruments and financial risk management principles, including exposure to Global Markets products, both derivatives and securities; a deep understanding and knowledge of market risk measures and fair valuation; and a strong comprehension of financial modelling fundamentals.
Understands internal audit’s role and objectives and how risk-based auditing is used to assess business process control environment effectiveness.
Has strong presentation skills, with the ability to communicate clearly and effectively both verbally and in writing; ability to produce high quality technical documentation.
Has the ability to problem solve; the ability to work both as a self-starting individual and as part of an integrated team; excellent attention to detail; a positive outlook and an ability to work in a fast-paced environment/multi-task under pressure; and is an intellectually curious, critical thinker.
Desired Qualifications:
An advanced degree in a quantitative field (e.g. PhD or Master's degree in Statistics, Economics, Mathematics, Finance, Engineering, Physics, Computer Science, or related field).
Experience in computational, engineering, or scientific research or development roles.
Strong, hands-on programming skills using Python, R and/or C++/C#, with ability to develop code to conduct independent testing and replicate results, and/or the ability to use data analytics applications.
Knowledge of market risk capital regulation (Basel III implementation through the US Market Risk Rule and the Capital Requirements Regulation in EU and UK jurisdictions), awareness of requirements in the Fundamental Review of the Trading Book and the wider regulatory environment (e.g., Sound Practices for Model Risk Management, SR 11-7).
These jobs might be a good fit
Google Staff Software Engineer Generative AI Google Workspace United States, New York, New York
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- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
- 2 years of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
- Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML disciplines.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in an organization involving cross-functional, or cross-business projects.
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Google Senior Staff Software Engineer Cloud Storage United States, New York, New York
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- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with design and architecture; and testing/launching software products.
- Experience with Performance optimization.
- Experience with C++ and software architecture.
Preferred qualifications:
- 8 years of experience with data structures/algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience in building storage solutions involving hardware offloads.
- Experience in driving multi-year engineering projects across multiple teams.
- Experience in defining technical strategy for major software products.
These jobs might be a good fit
Google Staff Software Engineer AI/ML Core United States, New York, New York
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- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
These jobs might be a good fit
Google Staff Research Scientist Google United States, New York, New York
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- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 4 years of experience with research agendas across multiple teams or projects.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
- 2 years of experience in coding and leading multiple research efforts and influencing research direction.
These jobs might be a good fit
Google Staff Software Engineer SRE Google Cloud United States, New York, New York
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- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 4 years of experience as a Site Reliability Engineer.
- 3 years of experience with software design and architecture.
- Experience working with cross-functional teams and stakeholder management.
Preferred qualifications:
- Experience driving large projects on their own.
- Experience working across organizational boundaries.
- Excellent technical design skills with the ability to understand systems quickly.
These jobs might be a good fit
Share
- 10+ years of experience in data management systems
- Experience with building production-level code with a large user base, robust design structure and rigorous code quality
- Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
- Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
- Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain
- Be directly responsible for delivering on goals which span a 6-18 month timeframe
- Play a key role in defining the roadmap for the next 12 months
- Write well tested, production-ready code in C++ (our test infrastructure also leverages Python and Javascript)
- Research state-of-the art query systems to inform our design
- Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction
- Advise management on decisions related to roadmap, processes, architecture and design
- Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
- Influence and grow team members through active mentoring, coaching and leading by example
- Help cultivate a strong talent bench through interviewing, mentoring and knowledge sharing
- In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system
- In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems
- In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team
These jobs might be a good fit
