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As a Product Security Lead, you will work proactively with technology and business colleagues to identify and quantify security issues within the business and empower them to make risk decisions. You will be a security expert with a mix of technical and communication skills, passionate about enabling safe and secure innovation.

As a Vice President in the Quantitative Research team, responsible for providing modelling solutions to the Equity Derivatives business using quant finance and machine learning techniques. Collaborate with traders and Structurers to identify opportunities and develop pricing prototypes. Implement advanced models in trading platforms and leverage machine learning frameworks for problem-solving.

In this role, you will support Japanese clients in the custody business, handling new account setups, client requests, and ensuring compliance with regulatory requirements. You'll work closely with Sales and internal teams to manage complex projects and maintain strong client relationships.

The VP will be responsible for daily monitoring and real-time credit decisions of intraday payments, advising on large or complex situations, developing strong relationships with various teams, becoming a subject matter expert on payment lines of business, assisting in policy and procedure development, and supporting the Payments CRO as needed.

Lead the development and ownership of technological architecture for high-impact financial products platform. Collaborate with executives, product owners, and engineers to drive platform advancement initiatives. Develop, upkeep, and promote technology strategy and architecture models aligned with product roadmap. Strong leadership, collaboration, and execution skills required.

Machine Learning Scientist specializing in Natural Language Processing (NLP) at a senior associate level. Responsibilities include researching and implementing machine learning models, collaborating with cross-functional teams, and driving firm-wide initiatives. Required qualifications include a PhD in a quantitative discipline or an MS with 3 years of industry experience, expertise in NLP and deep learning, proficiency in machine learning toolkits, and strong communication skills.

As a Senior Lead Software Engineer, you'll lead a scrum team to develop scalable applications, providing technical guidance and influencing product design. You'll write and review high-quality code, contribute to the software development cycle, and mentor others in adopting new technologies.