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- Tasks: Develop and implement data-driven models to analyze FX market trends and client behavior.
- Company: Join Citi, a global financial institution dedicated to responsible financial services and economic progress.
- Benefits: Enjoy a hybrid work model, competitive salary, and comprehensive benefits for you and your family.
- Why this job: Shape the future of data in FX while tackling new challenges that enhance your skills and career.
- Qualifications: Master's degree in a quantitative field with strong Python skills and experience in software engineering.
- Other info: Citi promotes a diverse workplace where everyone can thrive and be their authentic selves.
The predicted salary is between 48000 - 84000 £ per year.
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.
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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Data Scientist - FX Data & Analytics, Vice President (C13) employer: Citigroup Inc.
Contact Detail:
Citigroup Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - FX Data & Analytics, Vice President (C13)
✨Tip Number 1
Familiarize yourself with the latest trends in FX markets and financial instruments. Understanding market dynamics will help you demonstrate your knowledge during interviews and show how you can contribute to the FX Data & Analytics team.
✨Tip Number 2
Brush up on your Python programming skills, especially with libraries like pandas, numpy, and TensorFlow. Being able to discuss specific projects where you've used these tools will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the finance and data science sectors. Attend industry events or webinars to connect with potential colleagues at Citi and gain insights into their work culture and expectations.
✨Tip Number 4
Prepare to discuss your experience with CI/CD pipelines and containerization technologies like Docker. Highlighting your practical experience in these areas will show that you're ready to hit the ground running in this role.
We think you need these skills to ace Data Scientist - FX Data & Analytics, Vice President (C13)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, software engineering, and financial contexts. Emphasize your skills in Python and any quantitative models you've developed, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and how your background aligns with Citi's mission. Mention specific projects or experiences that demonstrate your ability to work with large datasets and collaborate with stakeholders.
Showcase Technical Skills: Clearly outline your technical skills, especially in Python and relevant libraries. Include any experience with CI/CD pipelines, containerization technologies, and data visualization tools, as these are key components of the job.
Prepare for Behavioral Questions: Be ready to discuss your collaborative experiences and how you've built consensus in previous roles. Prepare examples that showcase your proactive attitude and ability to work independently in dynamic environments.
How to prepare for a job interview at Citigroup Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and relevant libraries in detail. Highlight specific projects where you've developed quantitative models or data pipelines, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand the FX Market
Familiarize yourself with the fundamentals of FX markets and financial instruments. Being able to discuss market trends and client behavior will show that you can apply your technical skills in a financial context, which is crucial for this position.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll be collaborating with both technical and non-technical stakeholders, being able to convey your ideas clearly will be key to building consensus and delivering impactful solutions.
✨Demonstrate Collaboration Skills
Prepare examples of how you've worked collaboratively in previous roles. This could include experiences where you partnered with different teams to understand their data needs and deliver solutions, showcasing your ability to work effectively in a dynamic environment.
