Avtar Sehmbi - BIO

Avtar Sehmbi’s career spans more than two decades developing and executing Operations, Technology, Finance & Risk Management strategies across Investment & Corporate Banking, Insurance and Professional Services. With a combination of deep discipline expertise and Board level execution, Avtar is focused on playing transformational roles bringing organisational propositions to life. Avtar is the lead automation researcher at The Currency Times LLP, with focus on developing algorithmic logic and subsequent automation using his Finance, Operations, Technology and Risk Management experience. Avtar is also an industry ‘think tank,’ and has regularly provided commentary in national press (The Times, Computer Weekly, and Financial Times) and can be seen presenting at major events on a variety of Operations, Technology, Finance & Risk related topics.

Risk: Financial Risk: Credit & Market Risk. Operational Risk: Technology, Resilience, Transaction and Cyber.
Operations: Front to Back-office transformation (Cost-to-target, automation, self-service, machine learning, digital and regulatory engagement).
Industries: Investment & Commercial Banking, Professional Services, Energy, Manufacturing, Retail, Capital & Foreign Exchange markets.
Positions: Partner, CEO, CISO, COO, CCO, Non-Exec, CIO, CRO.
Curriculum: CISSP, CISM, CISA MCSE, CCNA Nat DIP 1, Nat DIP 2 CIOB. Financial Markets – Yale School of Management and Financial Accounting & Capital Markets – University of Cambridge.
Engagements / Employment: London Stock Exchange, Goldman Sachs, Daimler Chrysler, Intel, Deloitte, HSBC, Rio Tinto, Lloyds Banking Group, British Gas, Centrica, and Cigna.
Countries of Operation: United Kingdom, Ireland, Switzerland, Hong Kong, China, United States, Spain, Luxembourg, France, Germany, Dubai, Bahrain, New Zealand, Australia, Singapore, Thailand, India, South Korea, and Indonesia.

Algorithmic & AI Driven Foreign Exchange Trading

Avtar’s research journey began in 2015 whilst at HSBC Global Banking & Markets, working on the development of market sentiment engines leveraging social media APIs and in parallel, as Digital currency innovations pushed the development of automation in retail markets, Avtar increased focus on algorithmic development and technical bot trade execution, integration, and implementation. Today Avtar’s research and strategy pivots on incremental risk adverse cyclical gains using Machine Learning, Automation, and the introduction of Artificial Intelligence.
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