Senior Python Data Scientist

Citigroup Inc.; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking global bank as a Full Stack Data Scientist/Data Engineer in the FX Data Analytics & AI Technology team. This exciting role involves designing quantitative models and engineering data pipelines to derive insights from complex FX datasets. You'll collaborate with various stakeholders to optimize the FX business and contribute to the overall data strategy. With a hybrid working model and a range of benefits, this position offers an opportunity to thrive in a dynamic environment while making a significant impact in the financial sector.

Benefits

27 days annual leave

Discretional annual performance-related bonus

Private Medical Care

Life Insurance

Employee Assistance Program

Pension Plan

Paid Parental Leave

Special discounts for employees

Access to learning resources

Qualifications

• Strong experience in software engineering and development.
• Proficient in Python and machine learning libraries.

Responsibilities

• Design and implement quantitative models from FX data.
• Engineer data pipelines using cloud-native technologies.

Skills

Python

Machine Learning

Software Engineering

Data Visualization

SQL

Git

Linux

CI/CD

Docker

Kubernetes

Tools

TensorFlow

Keras

PyTorch

Airflow

Apache Spark

MongoDB

Kafka

Job description

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.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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