Leadership

We come from the desks we build for.

Every discipline this product touches, someone here ran — at Goldman Sachs, Credit Suisse, UBS, JPMorgan, Citi, Morgan Stanley, Nomura, Bridgewater, State Street, McKinsey and Amazon.

Not studying those businesses. Running them — carrying the P&L, answering to the risk committee, and shipping systems that had to work when the market opened. That is the moat.

Transient.AI was not designed by people learning the domain on the way in. The Next-Gen Trusted AI Operating System for Capital Markets runs inside your own environment, is governed by default, and produces output that is auditable end to end — because we spent our careers answering to regulators, risk committees and traders who do not accept “the model said so.”

Board & C-Suite 11

Sreej Menon

Sreej Menon

Chairman & Chief Executive Officer

Over two decades building investment-banking technology, now building the first declarative AI operating system for regulated capital markets. At Credit Suisse he was Global Head of Credit Products & Banking Technology, owning the stack across Credit, EM Fixed Income, Leveraged Finance, Global Loans and IBCM, and earlier Chief Architect for RegTech across the Investment Bank, IWM/SUB and APAC. He was also Global Head of Credit & IB Technology for UBS Non-Core and Global CIO for Leveraged Finance Technology at Santander.

Michael Ponniah

Michael Ponniah

Chief Technology Officer

A rare blend of Wall Street and Big Tech: large-scale distributed systems and production AI, from capital markets to Amazon and AWS. At Amazon Last Mile he pioneered an agentic AI development framework with multi-agent workflows across planning, execution and exception handling; on Alexa he ran production AI for spoken-language understanding at consumer scale. Before Amazon he spent a decade at Citigroup and Credit Suisse building electronic-trading infrastructure — proprietary RFQ negotiation platforms, order management and algorithmic trading across fixed income, credit derivatives and structured products.

Manju Ramasubbiah, CFA

Manju Ramasubbiah, CFA

Chief AI Officer

More than two decades at the intersection of advanced computer science and institutional finance, combining AI leadership, machine learning expertise and world-class engineering. An AI evangelist with deep experience building production-grade intelligent systems, he has consistently delivered technology at the scale and rigour demanded by global financial institutions. At Goldman Sachs he developed mission-critical platforms spanning Equities, Fixed Income and Mortgage Derivatives, and delivered funding-desk solutions across HQLA, secured funding and collateral lineage. MS Finance, MS Technology Management, CFA Charterholder.

Hector Robles

Hector Robles

Chief Revenue Officer

Algorithmic trading, electronic execution, transaction cost analysis and market microstructure across futures, cash fixed income, FX and equities. His career spans BestEx Research, RCM-X, Quantitative Brokers, Mizuho, UBS and ABN AMRO. He is a board member at Altus Academy and a member of Council 1871.

Sreekesh Menon

Sreekesh Menon

Board Member & Group President

An engineering leader who has run large-scale transformation programmes at Corebridge Financial and AIG, and an investor who has built and exited several companies of his own. MS in Control Systems, West Virginia University; BE in Electronics, Coimbatore Institute of Technology.

Ashok Balasubramanian

Ashok Balasubramanian

Board Member & Chief Operating Officer

More than twenty years in site reliability, quality engineering and delivery across global banks. He was a Director of SRE and Quality Engineering for Banking & Credit Technology at UBS, and spent over twelve years at Credit Suisse rising from QA team lead to Vice President across Singapore, Poland and New York. Earlier engineering roles at DBS, HDFC Bank and Polaris.

Jason Safriet

Jason Safriet

Global Head, Strategic Growth

A senior leveraged-finance distribution leader across high yield and investment grade. At Credit Suisse he was Head of Securities Sales for High Yield, Investment Grade and Distressed in Hong Kong, covering the largest institutional credit accounts in the market. He serves on the board of the Prostate Cancer Foundation.

Sankar Krishnan

Sankar Krishnan

Global Strategy Head & Investor Relations

A senior financial services and technology executive with over two decades of global experience across banking, capital markets, credit, digital assets and AI-led transformation. He has held leadership roles at Citi, Standard Chartered, PwC, Sutherland, HCLTech, Capgemini and Carlyle-backed Hexaware, driving large-scale innovation, business growth and enterprise modernisation. A recognised fintech thought leader, he is the author of The Power of Mobile Banking (Wiley), a contributor to financial media, and a Chartered Accountant with deep expertise at the intersection of finance and emerging technology.

Steve Kaczmarczyk

Steve Kaczmarczyk

Chief Compliance Officer

More than twenty-five years in capital-markets technology and go-to-market, previously at Goldman Sachs, Morgan Stanley, Credit Suisse and Fidelity. At Credit Suisse he was lead engineer on the real-time Treasury desk platform, ran the audit-mandated front-to-back transformation that took a trading desk entirely off Excel, and was later Global IT Head for Longevity Markets Technology and Country Head for Investment Bank Technology in Poland.

Ajay Srivatsavai

Ajay Srivatsavai

Chief Information Officer

Twenty years and more in asset and wealth management technology. He was Chief Business Technology Officer at McKinsey & Company’s MIO Partners, where he deployed generative AI for research automation across the investment organisation, and before that held senior technology roles at Bridgewater Associates, JPMorgan and State Street.

David Kim

David Kim

Chief Product Officer

Twenty-five years and more as a Wall Street trader, from floor runner to equity-derivative market maker in the IBM and Yahoo pits at the CBOE. He was a Sector Co-Manager at Goldman Sachs, an investment-grade credit trader at Nomura, and led electronic-trading strategy across IG, HY and Distressed at Credit Suisse and UBS, where he launched the US Credit ALGO business. MS in Computational Finance, Carnegie Mellon University.

Asia Pacific 4

Four of us cover the region, out of Credit Suisse, UBS, GIC and Morgan Stanley, and we bring applied AI research and governance with us.

Sonny Panesar

Sonny Panesar

Chief Executive Officer, Asia Pacific

Three decades and more in senior global and regional roles across Credit Suisse and UBS, out of London and Singapore, spanning investment banking and wealth management. He is a doctoral candidate in Emerging Technology with a concentration in Generative AI at Golden Gate University, San Francisco.

Sanju Menon, PhD

Sanju Menon, PhD

Chief Technology Officer, Asia Pacific

Applied AI research and development across finance and education technology. At UBS Next he led generative AI ventures, pioneered multi-agent orchestration and developed AI governance frameworks. He holds a PhD in Human-Computer Interaction from the National University of Singapore.

Courtlin Holt-Nguyen

Courtlin Holt-Nguyen

Chief AI Officer, Asia Pacific

Formerly Head of Data and AI at QIMA, where he led a global analytics transformation across the group. He is a doctoral candidate in Emerging Technology with a concentration in Generative AI at Golden Gate University, San Francisco.

Larry Beck

Larry Beck

Chief Technology Advisor, Asia Pacific

Thirty years in capital-markets technology leadership. He was a Managing Director at GIC leading the Technology Group, a Managing Director and senior APAC technology leader for Markets and Prime Services at Credit Suisse, and an Executive Director at Morgan Stanley.

Why it matters

Domain expertise is not a feature you add later.

Capital-markets software gets judged by people who have been burned by capital-markets software. We have been those people.

  • It runs where your data already lives.

    Because we have sat on the side of the table that decides whether data may leave the building — and we know what the answer usually is.

  • It is governed from day one, not from a policy document.

    Because we have answered to regulators, risk committees and internal audit, and we have watched controls bolted on afterwards fail to convince anyone.

  • It is built to be checked.

    Every output traces back to its source, because a desk that cannot see why will not use it a second time.