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The role is an opportunity to join, at either an Associate or VP level, a 25-people global quantitative group with recognised expertise in algorithmic strategy development and help shape the product offering and the execution performance of one of the leading Equities electronic trading businesses in the world.
BAML's market-leading Trader InstinctTM trading and consulting platform encompasses Equities and Futures algorithmic trading strategies, smart order routing, the Instinct XTM crossing network, analytics, alerting and execution consultancy.
The successful candidate will join the EMEA Algorithmic Trading Quantitative group. The group works closely with its Product and Technology partners to develop the electronic trading products of Bank of America Merrill Lynch for both Equities and Futures. It researches and implements sophisticated models and infrastructure designed to improve the performance of algorithmic trading strategy components. It also contributes critically to product innovation, the definition and operation of the control process, the marketing of the electronic trading product, the on-demand customisation of the product suite and the provision of desk and client service tools and analytics.
The role will involve making a significant and differentiating contribution to all aspects of the team's agenda including the continued enhancement of our algorithmic trading suite and the continued development of our desk and client service tools, real-time analytics product and performance monitoring capabilities. The successful candidate will work closely with other members of the global quantitative team and have close interaction with business and technology partners as well as with internal and external clients.
Research and development of various trading models in order to improve strategy performance
Research, implementation in trading platform and testing of various agency algorithmic trading and Smart Order Routing strategies
Research of various trading and performance analytics and implementation in real-time analytics and alerting platform
Strategy and analytics documentation and marketing
Production of quant research publications
Interaction with internal & external clients
Excellent academic background with a higher degree (or equivalent) in a quantitative or software engineering subject (MSc / PhD or equivalent )
Excellent analytical, quantitative and problem-solving skills
Extensive programming experience in Python and ideally Java, Q/Kdb
Strong practical experience of data analysis and machine learning
Solid experience of researching market microstructure and developing algorithmic trading strategies
Excellent written and verbal communication skills: ability to interact with clients and various business partners
Meticulous attention to detail, diligence and conscientiousness
Capable of working effectively both independently and with multiple teams/individuals
Good understanding of Global Markets
Excellent knowledge of programming languages, especially Python and ideally Java, Q/Kdb
Good conduct and sound judgment is crucial to our long term success. It's important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk. Individual accountability and an ownership mindset are the cornerstones of our Code of Conduct and are at the heart of managing risk well.
As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment
Apply: If you are interested in this opportunity please send your details to us by applying online with your CV.
We are an equal opportunities employer, and ensure that no applicant is subject to less favourable treatment on the grounds of gender, marital status, race, colour, nationality, ethnic or national origins, age, sexual orientation, responsibilities for dependants, physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience.