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Citi

Data Analyst - Credit Risk Management & Counterparty Risk (Client & Markets Data)

  • Hybrid
  • 3-6 years

Salary

$87,280/ year

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Description

You would join the enterprise data group, which forms part of the first line of defense for wholesale and counterparty credit risk.

The company is a global bank with about 200 million customer accounts, operating in more than 160 countries and jurisdictions. It serves consumers, corporations, governments and institutions through consumer banking and credit, corporate and investment banking, securities brokerage, transaction services and wealth management.

This is a seasoned professional role in the Business Analysis job family, within Decision Management.

The wider data transformation effort aims to deliver timely, accurate and complete data for daily operations, risk analysis and regulatory reporting.

Responsibilities

  • Examine credit risk, liquidity and trade and reference data, including feeds from front office trade capture systems, to find patterns and trends.
  • Collect operational data from cross-functional stakeholders to review past business performance.
  • Provide insights that support planning, process improvement and solution assessment.
  • Work with technology teams to design and deliver fixes for data problems.
  • Talk with data consumers about their requirements and the impact of data issues raised in the DCRM tool.
  • Keep Data Concern records in the DCRM tool current, with accurate status.
  • Recommend actions for future development and business opportunities, and policy changes based on your findings.
  • Take part in exploratory, confirmatory and qualitative analysis as needed.
  • Turn data into insight on consumer and customer behavior to guide targeting and segmentation.
  • Present findings clearly to business partners and senior leaders.
  • Explore new data sources, tools and methods to improve processes and strategies.
  • Work with internal and external business partners to build, implement, track and refine decision strategies.
  • Weigh risk in every decision, with attention to the firm's reputation, and drive compliance with laws, rules and regulations.
  • Escalate and report control issues openly.
  • Take informal or formal leadership at times, coach junior team members, and balance competing input from stakeholders.
  • Perform other job-related duties as required.

Requirements

  • 4-5 years of data analytics experience with financial markets data and products.
  • At least 1 year of SQL or Python scripting.
  • Hands-on use of Excel, Tableau, SQL and Python for data analysis.
  • Understanding of how firms manage credit and market risk for trading book activity.
  • Knowledge of financial market structure and products, including over-the-counter derivatives, securities financing transactions, exchange-traded derivatives and cash trading.
  • Comfortable with large data sets, with a firm grasp of logical data structures and analysis techniques.
  • Skills in data tracing, data mining, visualization, pattern and trend analysis, exploratory analysis, root cause analysis, machine learning and predictive analytics.
  • Experience working across teams globally and influencing diverse stakeholders.
  • Strong sense of urgency, with the ability to juggle competing priorities and deliver results quickly and efficiently.
  • Prior experience in financial services analytics.
  • Clear written and verbal communication.
  • Able to present to business partners or leaders to win approval.
  • Able to manage several projects at once.
  • Works well as a self-starter and within a team.
  • Bachelor's degree in Computer Science or equivalent relevant experience.
  • A Master's degree is preferred.

Conditions

Full-time role based in Tampa, Florida, United States.

Primary location full-time salary range: $87,280.00 - $130,920.00.

Anticipated posting close date: Oct 16, 2026.

AI may be used to match your skills to this opening and, with your consent, to other roles, but people make all hiring decisions.

The company is an equal opportunity employer that values diversity.

Benefits

  • Discretionary and formulaic incentive and retention awards for eligible employees, in addition to salary.
  • Medical, dental and vision coverage.
  • 401(k) plan.
  • Life, accident and disability insurance.
  • Wellness programs.
  • Paid vacation, sick leave and paid holidays.
  • Offerings vary by jurisdiction, job level and date of hire; full details are on the company's benefits website.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Citi

  • Industry: FinTech

Offices in United States, New York, United States

Also hiring in London, United Kingdom, Belfast, United Kingdom, Sydney, Australia and 11 more places

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 3 red flags

Still hiring?

14 checks

2 red flags

How crowded?

7 checks

1 red flag

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Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Tableau
  • Excel
Type
Full-time
Industry
FinTech
Specialty
Data Analyst
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Experience
5+ years
Tech stack
  • Python
  • SQL
  • Tableau
  • Excel

Location

Work model
Hybrid
Region
United States
Offices
  • United States
  • New York, United States
Remote from
  • United States

Compensation

Salary
$87,280 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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