Senior Validation Analyst - Credit Derivatives Job at Citi (Warsaw)

Model/Analysis/Validation Senior Analyst

Citibank, N.A. seeks a Model/Analysis/Validation Senior Analyst for its Tampa, F...

Location

United States , Tampa

Salary:

99500.00 - 130920.00 USD / Year

Citi

Expiration Date

June 22, 2026

Requirements

Master's degree, or foreign equivalent, in Quantitative Finance, Financial Engineering, or related field and three (3) years of experience performing risk analytics for a global financial services firm. Full term of experience must include: Financial products pricing model validation, including Equity, Derivatives, and Fixed Income)
Using programming languages including Python, R, SQL, C++
Writing code for model testing, large scale data analysis under various scenarios
Technical writing for model validation and model performance reports preparations
Applying knowledge of financial mathematics, statistics, Monte Carlo simulation and econometrics in model validation, design testing plans and identify model weakness
Using stochastic calculus for options, swaps and other derivatives pricing models
Fixed income securities analysis for bond and mortgage pricing models validation
Machine learning, validating K-Nearest Neighbors (KNN) pricing models
Python Analytical Packages including Numpy, Pandas, Matplotlib
and Excel add-ins for pricing model data monitoring analysis.

Job Responsibility

Provide financial derivative trading support
recommend ways to control or reduce risk
perform month end adjustments for selected facilities related to over-the-counter derivatives and security financial transactions with over/understated pre-settlement exposure and pre-settlement loan exposure
investigate suspicious exposures on securities financing transaction and over the counter products (SFT & OTC PRODUCTS) with critical analysis to identify the issues and communicate findings to front-office/business and risk managers
Perform Value at Risk (“VAR”) and pre-settlement exposure (“PSE”) analyses and communicate results to front office to ensure efficient trading in business
prepare adjustment decks, develop, document, and maintain process documents: prepare various decks such as the month end adjustment decks, quarterly statistics on special credit risk exposure factor issued
develop process documents including credit risk exposure process documents, to explain its use to front office users
work with technology team to perform system enhancements

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

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Senior Analyst – Middle Office (OTC Trade Confirmation)

The Senior Analyst – OTC Trade Confirmation is responsible for the timely and ac...

Location

India , Haryana

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Finance, Accounting, Economics, or a related discipline
3–6 years of experience in Middle Office / Trade Support / OTC Confirmations
Strong understanding of OTC derivatives and confirmation workflows
Familiarity with ISDA documentation, CSA agreements, and regulatory requirements
Hands‑on experience with confirmation platforms (e.g., MarkitWire, ICE, DTCC, electronic confirmations)
High attention to detail with strong reconciliation and analytical capabilities
Ability to manage high volumes and tight deadlines without compromising accuracy
Strong problem‑solving and root‑cause analysis skills
Clear and professional written and verbal communication
Ability to handle counterparty negotiations and internal escalations confidently

Job Responsibility

Perform end‑to‑end confirmation of OTC derivative trades including Interest Rate Derivatives, Credit Derivatives, FX Derivatives, Equity & Commodity OTC products
Validate trade economics against front‑office systems, term sheets, and confirmations
Ensure confirmations are completed within agreed SLAs and industry standards
Investigate and resolve trade breaks, mismatches, and disputes with counterparties and internal teams
Proactively track aged/unconfirmed trades and escalate risks appropriately
Ensure accurate documentation of issues and resolution paths for audit and regulatory review
Liaise with front office, legal, risk management, back office, and external counterparties
Ensure compliance with regulatory requirements such as EMIR, Dodd‑Frank, and other local regulations
Support audits, risk assessments, and regulatory inquiries
Maintain strong operational controls to mitigate operational and counterparty risk

Fulltime

Market Risk Senior Analyst

This position provides an opportunity for an experienced risk analyst with solid...

Location

Poland , Warsaw

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years of experience
experience in one or more of the following fields: quantitative risk modelling, market risk management practices, risk regulations, numerical computation, statistics or data analysis, financial model development, application or validation
strong hands-on IT skills, for example, with Python, SQL, Unix
sound knowledge of statistical modelling concepts and industry best practices
experience with econometric and statistical modelling or application risk scoring
excellent quantitative and analytic skills
ability to derive patterns, trends and insights
experience working in big data environments
intellectual curiosity to stay abreast of technological advances
demonstrated initiative and proactive approach

Job Responsibility

construct covariance matrices for historical periods of stress for various portfolios
identify and address specific needs of Citi legal entities within EMEA region to meet local regulatory expectation in market risk modelling
work with existing market risk models and provide solutions where weaknesses are identified in testing or where new business needs require model enhancements
develop RNIV models to quantify non-standard market risks of complex products
research, support, enhance and maintain market risk models
design and develop in-house software for quantitative analysis
interact confidently with other risk management teams, the front office, technology and control groups
model and explain the behavior of a complex portfolio of vanilla and exotic derivatives with greeks and risk factor simulations
understand differences between regulatory regimes around the globe
perform advanced analytics with hundreds of thousands of risk factor time series

What we offer

private medical care program
life insurance program
pension plan contribution (PPE program)
employee assistance program
paid parental leave program (maternity and paternity leave)
sport card
holidays allowance
sport and team recreation activities
special offers and discounts for employees
access to an array of learning and development resources

Fulltime

Senior Quantitative Analyst

The Market Quantitative Analysis (MQA) team is seeking a Quantitative Analyst to...

Location

Hungary , Budapest

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong technical and programming skills in C++ and Python, with experience in developing complex numerical algorithms or large-scale data processing systems
Solid understanding of statistical and mathematical modeling techniques, including numerical methods, stochastic calculus, Monte-Carlo techniques and statistical inference
Ability to independently problem-solve and drive solutions from conception to implementation
Excellent communication skills (written and verbal) with the ability to articulate complex quantitative concepts clearly and concisely to diverse audiences
Strong work ethic and a team player with excellent time management skills
Master's or PhD degree in a quantitative field (e.g., Mathematics, Physics, Statistics, Financial Engineering, Computer Science)
Proven experience 3+ years in quantitative modeling and analytics, specifically within financial derivatives, risk management, or similar domains.

Job Responsibility

Develop, enhance, and maintain counterparty credit risk models and their underlying analytics library, delivering high-performance, production-quality code
Design and implement robust methodologies, advanced algorithms, and sophisticated diagnostic tools to rigorously test and validate model performance
Interpret complex model outputs and communicate comprehensive insights to internal stakeholders and external clients
Collaborate closely with risk quantitative analysts, technology professionals, and structurers to integrate models and solutions effectively.

What we offer

Competitive compensation package, including an annual salary review and discretionary performance bonus
Comprehensive social benefits, including premium healthcare, an award-winning pension scheme, robust life insurance, generous holiday allowance, and family support programs (e.g., competitive maternity and paternity scheme)
Flexible hybrid work model, blending modern office collaboration with the convenience of remote work
A dynamic, supportive, and inclusive work environment fostering collaboration, diversity, and professional growth, complemented by active affinity groups and social networks
Structured onboarding and continuous learning opportunities through extensive internal training programs, including access to platforms like Degreed
Significant influence on team processes and methodologies, with active encouragement for innovation and improvement ideas
Extensive career development and growth opportunities across Citi's global network
Direct exposure and collaboration with a wide range of senior stakeholders across different functions.

Fulltime

Lead Data Analyst–Regulatory Reporting - Senior Vice President

We are looking for a technical problem-solver to join our Global Regulatory Repo...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced SQL: comfortable writing complex queries from scratch (Joins, Window Functions, Case Logic)
Data Analysis: ability to compare large datasets (Source vs. Target) to identify variances
Domain Knowledge (Banking or Trading): Familiarity with Lending products (Mortgages, Revolving Credit, Term Loans), Deposits, and General Ledger concepts OR Familiarity with Capital Markets products (Derivatives, Securities, Repos) and trade lifecycles
Understanding of how product data translates to financial reporting
Experience with JIRA for defect tracking and requirements management
Ability to read and interpret Data Mapping Documents (Source-to-Target mappings)
8+ years experience
Should have team handling experience

Job Responsibility

Upstream Change Impact Analysis (The "Shield"): Monitor and review upcoming changes in upstream source systems
Analyze the "Blast Radius" of these changes using data mapping files and SQL
Conduct "content analysis" to verify if the nature of the data is changing
Incident Triage & Root Cause Analysis (The "Detective"): Investigate "perceived data issues" raised by the Regulatory Reporting team
Execute complex SQL queries to trace data lineage back to the source
Determine the verdict: Is this a true upstream Data Quality (DQ) issue, a logic gap in our transformation layer, or a valid business event?
Prevent false alarms from reaching the technology development team
Testing Strategy & Requirements Management: Translate findings into actionable JIRA tickets
Define test cases for User Acceptance Testing (UAT)
Communication & Stakeholder Management: Act as the translator between the Reporting Team and the Technology Team

Senior Business Data Analyst - Capital Market

This role is within enterprise data office and product solution team; focused on...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

13+ years of combined experience in banking and financial services industry, information technology and/or data controls and governance
Expertise and professional experience in Markets Business, Market Risk computation, Counterparty Party Risk Computation, ISDA Credit Annexure-Netting, Collateral, Basel III rules for market risk and credit risk, stress testing and computation of counterparty exposure
Good understanding of exposure computation process, Monte Carlo Simulation, data required for Computation of Derivative / SFT EAD
Excellent understanding of data requirements, simulation, netting and collateral rules for Market products (Derivatives, SFT, etc)
Preferably Engineering Graduate with Post Graduation in Finance
Extensive experience in the capital markets business and processes
Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) and SFT (Repo, Reverse Repo, Securities Lending and Borrowing)
Strong Data analysis skills using Excel, SQL, Python, Pyspark etc.
Experience with data management processes and tools and applications, including process mapping and lineage toolsets
Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management

Job Responsibility

Engage with Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps and design systematic solution for business needs
Understand Derivatives and SFT data flows within CITI
Data analysis for derivatives products across systems for target state adoption and resolution of data gaps/issues
Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports
Document current and target states data mapping and produce gap assessment
Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues
Identify appropriate strategic source for critical data elements
Design and Implement data governance controls including data quality rules and data reconciliation
Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions
Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic

Fulltime

New

Avp, Quantitative Risk Analyst

Location

United States , New York City

Salary:

140000.00 - 185000.00 USD / Year

Aflac

Expiration Date

July 10, 2026

Requirements

Knowledge of statistics and its application to the financial services industry
Familiarity with life insurance company financial statements preferred
Strong analytical and critical thinking skills
Strong verbal and written communication skills
Highly organized with the ability to work on multiple projects with different deadlines
Team player
Bachelor's degree in Financial Engineering, Mathematical Finance, Mathematics or a related major
5+ years of relevant work experience in financial services risk management (preferably life insurance), either in industry, or as a consultant
Strong model development experience in programming languages such as C#, Python, and VBA required
Or an equivalent combination of education and experience

Job Responsibility

Works with GIRM team members to advance the development of the company’s risk analysis system
in particular, leads the technical development and/or maintenance of the investment risk system production environment (in Python/C#), including but not limited to risk simulation tool, regulatory capital ratio methods, extreme tail event stress testing and economic scenario generator (ESG)
Leads efforts to automate the data flow, calculation and production of regular investment risk reports for senior management and business partners
Provides quantitative support and business insight to senior management for different investment and risk management decisions, through analyses of financial impacts due to exposures in market risk, credit risk etc
Works closely with front office teams for different types of asset classes portfolio monitoring, including credit, derivatives and alternative assets and performs relevant risk analysis
Collaborates with GIRM team members to perform second line comprehensive risk analyses across investment risks to ensure compliance with the firm’s risk appetites, tolerances, and investment risk limits
Works closely with the Quantitative Analytic Solutions team to validate and calibrate models to support implementation
Provides documentation and validation of models and calibration techniques
Collaborates with GIRM’s technologists to ensure models are efficient and robust as deployed into production
Provides support for market and credit risk analysis

What we offer

Medical, dental, and vision coverage
Prescription drug coverage
Health care flexible spending
Dependent care flexible spending
Aflac supplemental policies (Accident, Cancer, Critical Illness and Hospital Indemnity offered at no costs to employee)
401(k) plans
Annual bonuses
Opportunity to purchase company stock
11 paid holidays annually
Up to 20 days PTO to be used for any reason

Fulltime

Risk Analyst - Expert

As a Risk Analyst Expert, you will play a pivotal role in developing and maintai...

Location

Canada , Toronto

Salary:

65.00 - 75.00 USD / Hour

Randstad

Expiration Date

Until further notice

Requirements

2+ years of experience in capital markets, either in Market Risk, Middle Office / Product Control or Back Office
Solid knowledge of derivative pricing (FICC, credit derivatives, equity derivatives), and market risk methodologies (eg. Greeks, VaR, ES)
Strong quantitative and analytical skills, with attention to detail
Ability to clearly communicate highly technical concepts to business stakeholders
Strong Python development skills with focus on finance use cases
Solid understanding of IT practices and ability to manage and prioritize development tasks
Results oriented with ability to work effectively under consistent time and workload pressures
Delivery focused mentality and ability to work autonomously

Job Responsibility

Developing and Maintaining risk applications to estimate profits & losses (P&Ls) using the strategic Big Data infrastructure (HDFS, Apache Spark (PySpark), etc.), includes: Understanding quantitative methodologies and business requirements
Designing and implementing solutions that fit into the overall strategic framework
Conducting testing to ensure the appropriateness of the implementations
Maintaining the implementation to incorporate user feedback as well as performance enhancements
Utilizing AI tools and emerging technologies to enhance productivity, streamline development processes, and improve code quality while maintaining compliance and accuracy standards
Contributing ideas and concerns, and escalating issues for tactical and strategic system solutions and business process improvement
Providing effective User Acceptance Testing, ensuring the appropriate validation has occurred from Quantitative Risk Analytics and/or Model Risk
Collaborating with IT teams to build out DevOps process to enable efficient product delivery
Working with IT colleagues and other stakeholders to reach agreeable and effective solutions to complex technical problems
Assisting with business process engineering, ensuring all processes are effective, efficient

What we offer

Strategic Impact: Contribute to high-visibility projects using cutting-edge Big Data infrastructure (HDFS, Apache Spark)
Tech Forward Environment: Opportunity to utilize and integrate AI tools (Copilot, RAG, Transformers) to enhance development productivity
Collaborative Culture: Work alongside elite IT and Quantitative Risk teams in a professional, results-oriented setting

Fulltime

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Senior Validation Analyst - Credit Derivatives

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