Data Scientist - Algorithmic Trading

at  BBVA

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate10 Apr, 2025Not Specified12 Jan, 20253 year(s) or aboveStochastic Optimization,Teamwork,Financial Markets,Machine Learning,JavaNoNo
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Description:

EXCITED TO GROW YOUR CAREER?

BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

ABOUT THE JOB:

Advanced Analytics & Algorithmic Trading is a team within Global Markets focused on leveraging data to automate trading processes through intelligent algorithms and generate actionable market and client insights. The team spans across three major asset classes: Equities, Fixed Income, and FX, developing and deploying reusable solutions across geographies and products.
We are looking for a Data Scientist to join the Advanced Analytics & Algorithmic Trading team. The position is in London, to work with the credit flow trading desk developing the market-making algorithms for corporate bonds.
The successful candidate will also help the trading desk implementing trading tools based on data, like predictive models, indicators, and relevant metrics.

REQUIREMENTS:

  • The ideal candidate has around 3 years of previous experience in Data Science / Machine Learning and knowledge of financial markets.
  • Knowledge of optimal market-making frameworks based on stochastic optimization is a plus.Strong Python is a requirement, but experience with Java and KDB+/Q is highly desirable.
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SKILLS:

Continuous Development, Customer Targeting, Intrinsic Motivation, Teamwor

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

London, United Kingdom