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Data Scientist, Capital Team - Assistant Vice President

06500 Citigroup Global Markets Limited
Belfast
1 month ago
Applications closed

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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.

What you’ll do

Provide data analysis to product desks and other partners

Conduct strategic data analysis, identify insights and implications and make strategic recommendations, develop data displays that clearly communicate complex analysis.

Mine and analyse data from various platforms to drive optimization and improve data quality.

Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.

Drive communication between business leaders and IT; exhibit sound and comprehensive communication and diplomacy skills to exchange complex information.

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

What we’ll need from you

Experience working with data analytics on large datasets, ideally within financial Markets.

Proven ability analysing business needs, building visualisations, and tracking down complex data quality and integration issues.

Very strong SQL and Tableau skills required. Python or other programming a plus.

Strong analytical and mathematical skills.

Methodical attention to detail

Demonstrable team skills both within and across teams.

Ability to pick up new concepts and think outside the box.

Preferably comfortable with derivatives modelling concepts.

Undergraduate numerate degree or higher

What we can offer you

This role will provide you the opportunity to build an in-depth knowledge of capital management within financial services. It will also provide an opportunity to put in practice data skills and strengthen these as you use data to drive change and solve complex problems.

We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.

By joining Citi Belfast, 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: 

Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure

A discretional annual performance related bonus 

Private medical insurance packages to suit your personal circumstances

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. 

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. 

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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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