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Senior Python Data Scientist...

Citigroup Inc.
London
2 days ago
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Overview Citi is a world-leading global bank. We have
approximately 200 million customer accounts and a presence in more
than 160 countries and jurisdictions worldwide. We provide
consumers, corporations, governments, and institutions with a broad
range of financial products and services, including consumer
banking and credit, corporate and investment banking, securities
brokerage, transaction services, and wealth management. We enable
clients to achieve their strategic financial objectives by
providing them with cutting-edge ideas, best-in-class products and
solutions, and unparalleled access to capital and liquidity. What
We do / The Team The FX Data Analytics & AI Technology team,
within Citi's FX Technology organization, seeks a highly motivated
Full Stack Data Scientist / Data Engineer. The FX Data Analytics
& Gen AI Technology 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
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. Role Overview/What will you 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. Key Skills and Experience required - 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’ll provide you
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 such as: - 27 days annual leave (plus bank holidays) - A
discretional annual performance related bonus - Private Medical
Care & Life Insurance - Employee Assistance Program - Pension
Plan - Paid Parental Leave - Special discounts for employees,
family, and friends - Access to an array of learning and
development resources Visit ourGlobal Benefitspage to learn more.
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. ------------------------------------------------------
Job Family Group: Technology
------------------------------------------------------ Job Family:
Applications Development
------------------------------------------------------ Time Type:
Full time ------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates
will receive consideration without regard to their race, color,
religion, sex, sexual orientation, gender identity, national
origin, disability, status as a protected veteran, or any other
characteristic protected by law. 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. View Citi’s EEO Policy Statement and the Know Your Rights
poster. #J-18808-Ljbffr

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National AI Awards 2025

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