Data Science Senior Analyst

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 analysis, problem solving and presentation to working as a Data scientist in the Markets Capital Advancement team, to help Markets effectively manage capital.

By Joining Citi, you will become part of a global organisation 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

Responsible for analysing, presenting and sharing capital and related data using Tableau and other tools as needed. Aim for as much transparency and accessibility as possible, empowering others to utilise data and tools.

Within Counterparty Trading & Risk, the Markets Capital Advancement team is the central team that drives and oversees execution and management of capital initiatives.

Responsibilities:

• Provide data-driven analysis and insights to product desks and key business partners to support informed decision-making.
• Conduct strategic and complex data analysis, identifying key trends, insights and business implications, and translating findings into actionable recommendations and clear, effective data visualisations.
• Analyse and interpret data across multiple platforms and data sources to identify optimisation opportunities and continuously improve data quality.
• Partner with users and clients to assess and resolve complex system and process-related issues, evaluating business processes, systems and industry standards to recommend effective solutions.
• Act as a key liaison between business stakeholders and Technology, ensuring clear and effective communication of complex requirements, challenges and solutions.
• Demonstrate strong communication, stakeholder management and influencing skills when working across diverse teams and seniority levels.
• This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Qualifications:

• Experience in data analytics involving large and complex datasets, ideally within Financial Markets.
• Proven ability to analyse business requirements, develop effective data visualisations, and identify and resolve complex data quality and integration issues.
• Advanced SQL and Tableau skills are essential; experience with Python or other programming languages would be advantageous.
• Strong analytical, quantitative and mathematical skills, with the ability to interpret complex information effectively.
• Methodical approach with excellent attention to detail and a strong focus on accuracy.
• Demonstrated ability to collaborate effectively both within the immediate team and across broader functions.
• Ability to quickly grasp new concepts, think creatively and develop innovative solutions.
• Ideally, a good understanding of and comfort working with derivatives modelling concepts.
• Undergraduate degree or higher in a numerate or quantitative discipline.

Education:

• Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

What Citi Can Offer 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

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day.

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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.

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