Data Scientist - FX Data & Analytics, Vice President (C13)
33 CANADA SQUARE CANARY WHARF LONDON, United Kingdom
Citi
Citi is a leading global bank for institutions with cross-border needs, a global provider in wealth management and a U.S. personal bank.Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data-driven modelling and data engineering to Citi’s Global FX Team.
By Joining Citi, you will become part of a global organization whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.
Team/Role Overview
The FX Data & Analytics team, within Citi's FX sales and trading organization, seeks a highly motivated Full Stack Data Scientist / Data Engineer.
The FX Data & Analytics team provides data, analytics, and tools to Citi FX sales and trading globally and is responsible for defining and executing the overall data strategy for FX.
The successful candidate will be responsible for developing and implementing quantitative data-driven models, and engineering robust data and analytics pipelines, to unlock actionable insights from our vast amount of global FX data. The role will be instrumental in executing the overall data strategy for FX and will benefit from close interaction with a wide range of stakeholders across sales, trading, and technology. We are looking for a proactive individual with a practical and pragmatic attitude, ability to build consensus, and work both collaboratively and independently in a dynamic environment.
What you’ll do
Design, develop and implement quantitative models to derive insights from large and complex FX datasets, with a focus on understanding market trends and client behavior, identifying revenue opportunities, and optimizing the FX business.
Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability.
Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology.
Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance.
Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders.
What we’ll need from you
Master’s degree or above (or equivalent education) in a quantitative discipline.
Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate.
Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc).
Experience developing and implementing quantitative models from data in a financial context.
Proficiency working with version control systems such as Git, and familiarity with Linux computing environments.
Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc.
Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools.
Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences.
Ideally, some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes.
Ideally, some familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark/Ignite or other caching and analytics technologies.
A working knowledge of FX markets and financial instruments would be beneficial.
What we can offer you
This is a role that'll offer you the freedom to define the future direction of how data is used to add value across our FX business. Every day there will be new business challenges that will help you develop new skills that can drive your career.
By joining Citi London you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits that support you (and your family) to be well, live well and save well.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
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Job Family Group:
Institutional Trading------------------------------------------------------
Job Family:
Trading------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Big Data CI/CD Data governance Data management Data strategy Data visualization Docker Engineering Flask Git Kafka Keras Kubernetes Linux Machine Learning Matplotlib MongoDB NumPy Pandas Pipelines Plotly Python PyTorch Scikit-learn Spark SQL Streamlit TensorFlow
Perks/benefits: Career development Competitive pay Transparency
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