Data Science Senior Analyst

Location: Belfast United Kingdom

Remote Type: Hybrid

Time Type: Full time

Job Description

About Citi Markets

At Citi Markets, we win together. In a rapidly changing world, our shared vision gives us the clarity, agility and global perspectives we need to shape the future. That's why collaboration plays a central role in how we deliver for clients, develop our people, and grow our business. Our operation is uniquely global. Our client list is remarkably varied. Our product range is incredibly broad. But we're not the finished article. We have big ambitions for the future and all the resources we need to reach them, including some of the smartest people in the industry. Citi Markets operates across fixed income, currencies, commodities, equities, and prime finance, providing institutional clients worldwide with comprehensive sales, trading, and risk management solutions.

Responsibilities:

• Build, maintain and enhance dashboards and Counterparty Credit Risk (CCR) exposure tools to support the business during crisis management, internal innovation initiatives and regulatory engagements.
• Support broader projects across the Counterparty Trading & Risk group, providing analysis and investigations related to Counterparty Credit Risk and XVA Trading.
• Demonstrate the ability to quickly grasp new concepts, solve complex problems and think creatively.
• Effectively manage competing priorities and deliver against time-sensitive deadlines in a fast-paced environment.
• Build strong working relationships and collaborate effectively with a wide range of stakeholders across XVA Trading, ICM, Risk, Operations and Technology.
• Identify opportunities to integrate AI-driven innovation into existing dashboards, analytical tools and processes, enhancing efficiency and decision-making.

Qualifications:

• Advanced SQL and Tableau skills are essential; experience with Python or other programming languages would be advantageous.
• Strong analytical and quantitative skills, with the ability to interpret complex data and solve problems effectively.
• Excellent attention to detail, with a strong focus on accuracy and quality.
• Demonstrated ability to work collaboratively both within the immediate team and across broader functions.
• Ability to quickly grasp new concepts, think creatively and develop innovative solutions.
• Agility to thrive in a fast-paced, high-performance trading environment
• Ideally, a good understanding of and comfort working with derivatives modelling concepts.

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, 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.

We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise – then apply today.

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Job Family Group:

Technology

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Job Family:

Data Science

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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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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