Quantitative / AI Specialist
BNY
Quantitative / AI Specialist
BNY
Safeguards and moves assets for investors
We’re seeking a future team member for the role of Quantitative / AI Specialist to join our FX Options Trading team within Markets. This role is located in London.
In this role, you’ll make an impact in the following ways:
Build analytics and tooling for the FX Options Trading desk
Develop trading models to improve desk performance, pricing capabilities, and efficiency
Help design and build an electronic pricer for FX options, including API integration
Partner with traders to automate processes and enhance day-to-day desk workflows
Support traders in daily trading activity through analytics, tools, and workflow improvements
Explore and integrate AI solutions into desk processes and trading infrastructure
To be successful in this role, we’re seeking the following:
Strong academic background in Mathematics, Engineering, Computer Science, Physics, or a related quantitative discipline
Demonstrated interest or experience in AI / machine learning applications
Strong programming and development skills, ideally in Python and/or C++
Interest in trading, markets, and market making
Strong analytical and problem-solving skills
Ability to work closely with traders in a fast-paced front-office environment
Knowledge of FX derivatives is a plus
Experience building pricing tools, trading applications, or API-based solutions is a plus
BNY safeguards financial assets and runs investment services for institutions, investment firms and wealthy clients around the world. Its custody business keeps clients' securities safe and handles the records and transactions needed to administer investment funds. Banks and brokers use its systems to settle trades, manage collateral and send payments, while its investment and wealth businesses manage portfolios and advise clients. It earns servicing and management fees as well as interest on loans and securities funded by client deposits. BNY traces its roots to the Bank of New York, founded by Alexander Hamilton in 1784, and is headquartered in New York City.
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