Machine Learning Lead 3120419

  • Company:
    Morgan Stanley
  • Location:
  • Salary:
    negotiable / monthly
  • Job type:
    Full-Time
  • Posted:
    4 weeks ago
  • Category:
    IT & Software

Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm’s employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Technology Technology works as a strategic partner with Morgan Stanley business units and the world’s leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley’s sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients’ businesses—and to our own. Corporate and Funding Technology is comprised of three primary areas: Operations & Risk, Corporate and Client Financing. – Operations & Risk helps the Firm’s businesses while maintaining a strong risk profile. The group includes Operations, Funding, Finance and Risk Technology. – Corporate improves our operating environment and is made up of Legal, Compliance & Corporate Governance, Digital & Corporate Communications and Human Resources Technology groups. – Client Financing platforms provide technology and service to our hedge fund and Asia high-net-worth clients. Groups include Prime Brokerage, Private Wealth Management Asia and Counterparty Risk Technology. Operations Technology (OT) develops strategic solutions that support key business processes, including Settlements, Confirmations, Regulatory Reporting, Position Keeping, Anti-Money Laundering and Trade Surveillance. Our clients include Institutional Securities Group, Wealth Management, Enterprise Operational Risk & Control, Risk, Internal Audit and Operations. Position Description: Enterprise Metrics and Analytics has a global team and growing its presence in New York, Montreal, Mumbai and Bangalore. We are looking for a world-class senior machine learning specialist to lead the team to help explore, design and develop new solutions for a Firm-wide user base leveraging many tools such as Keras, TensorFlow, Spark and Fast.ai. The ideal candidate should hold an advanced degree in a quantitative discipline and has experience researching, building, and maintaining data science models at scale in an enterprise environment. The position requires good communication skills, ability to work together in cross-functional technical teams in different areas of the organization. Key responsibilities – Scope out large projects and initiatives, identifying appropriate models/algorithms to solve product requirements. – Source and/or create tooling to enable rapid deployment of common use cases. – Be a technical mentor for junior team members. – Guide, influence and manage expectations of key senior stakeholders. Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm’s employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Technology Technology works as a strategic partner with Morgan Stanley business units and the world’s leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley’s sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients’ businesses—and to our own. Corporate and Funding Technology is comprised of three primary areas: Operations & Risk, Corporate and Client Financing. – Operations & Risk helps the Firm’s businesses while maintaining a strong risk profile. The group includes Operations, Funding, Finance and Risk Technology. – Corporate improves our operating environment and is made up of Legal, Compliance & Corporate Governance, Digital & Corporate Communications and Human Resources Technology groups. – Client Financing platforms provide technology and service to our hedge fund and Asia high-net-worth clients. Groups include Prime Brokerage, Private Wealth Management Asia and Counterparty Risk Technology. Operations Technology (OT) develops strategic solutions that support key business processes, including Settlements, Confirmations, Regulatory Reporting, Position Keeping, Anti-Money Laundering and Trade Surveillance. Our clients include Institutional Securities Group, Wealth Management, Enterprise Operational Risk & Control, Risk, Internal Audit and Operations. Position Description: Enterprise Metrics and Analytics has a global team and growing its presence in New York, Montreal, Mumbai and Bangalore. We are looking for a world-class senior machine learning specialist to lead the team to help explore, design and develop new solutions for a Firm-wide user base leveraging many tools such as Keras, TensorFlow, Spark and Fast.ai. The ideal candidate should hold an advanced degree in a quantitative discipline and has experience researching, building, and maintaining data science models at scale in an enterprise environment. The position requires good communication skills, ability to work together in cross-functional technical teams in different areas of the organization. Key responsibilities – Scope out large projects and initiatives, identifying appropriate models/algorithms to solve product requirements. – Source and/or create tooling to enable rapid deployment of common use cases. – Be a technical mentor for junior team members. – Guide, influence and manage expectations of key senior stakeholders. Skills Required – Minimum of 10 years relevant work experience – MSc./PhD in Mathematics, Statistics, Economics, Computer Science, Operational Research, Physics, and other related quantitative fields. – Strong understanding of the foundational concepts and applied experience in Machine Learning (ideally, a combination of excellent academic research and high-impact commercial projects). – In depth understanding of common Machine Learning algorithms (e.g., for classification, regression and clustering). – In depth knowledge of advanced statistical theories, methodologies, and inference tools. – Proven track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference. – Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems. – Service Design Concepts, OO and Functional Development concepts. – Strong oral and written communication skills. – Strong analytical and problem solving skills. Skills Desired – Linux, Unix, Shell Scripting. – Java, Python, Tensorflow, Keras – Object-Oriented Programming. – Experience with non-English NLP. – Experience with Deep Learning – Banking / Financial Services experience is a plus. Knowledge of French and English is required. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Skills Required – Minimum of 10 years relevant work experience – MSc./PhD in Mathematics, Statistics, Economics, Computer Science, Operational Research, Physics, and other related quantitative fields. – Strong understanding of the foundational concepts and applied experience in Machine Learning (ideally, a combination of excellent academic research and high-impact commercial projects). – In depth understanding of common Machine Learning algorithms (e.g., for classification, regression and clustering). – In depth knowledge of advanced statistical theories, methodologies, and inference tools. – Proven track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference. – Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems. – Service Design Concepts, OO and Functional Development concepts. – Strong oral and written communication skills. – Strong analytical and problem solving skills. Skills Desired – Linux, Unix, Shell Scripting. – Java, Python, Tensorflow, Keras – Object-Oriented Programming. – Experience with non-English NLP. – Experience with Deep Learning – Banking / Financial Services experience is a plus. Knowledge of French and English is required. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.