Senior Manager, Quantitative Analysis - Model Risk Office Job at Capital One (McLean)

Senior Manager, Data Science - Model Risk Office

Senior Manager, Data Science - Model Risk Office Data is at the center of every...

Location

United States , McLean, Virginia; Richmond, Virginia; Riverwoods, Illinois; New York, New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Assistant Vice President (AVP), Non-Financial Risk – Data & Model Risk Specialist

The Assistant Vice President (AVP), Non-Financial Risk - Data & Model Risk Speci...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum of 5-8 years of experience in operational risk management, compliance, audit, or other control-related functions in the financial services industry
Ability to identify, measure, and manage key risks and controls
Strong knowledge in the development and execution for controls
Proven experience in control related functions in the financial industry
Proven experience in implementing sustainable solutions and improving processes
Understanding of compliance laws, rules, regulations, and best practices
Understanding of Citi’s Policies, Standards, and Procedures
Strong analytical skills to evaluate complex risk and control activities and processes
Strong verbal and written communication skills, with a demonstrated ability to engage at the senior management level
Strong problem-solving and decision-making skills

Job Responsibility

Conduct comprehensive non-financial risk assessments for new and existing data initiatives, data flows, and analytical models, focusing on data governance, data quality, data privacy, model development, model validation, regulatory compliance, and reputational risk
Support the implementation and continuous enhancement of Citi’s Data and Model Risk Management (DMRM) framework, policies, and procedures within the Client Organization
Establish and execute ongoing monitoring activities for critical data assets and models, including data quality metrics, model performance reviews, validation effectiveness evaluations, and incident management
Identify and escalate emerging data and model risks. Collaborate with business owners, technology teams, and model developers to develop and implement effective risk mitigation plans and corrective actions
Partner closely with business units, Technology, Quantitative Risk, Compliance, and other risk functions to ensure a consistent and integrated approach to data and model risk management
Contribute to developing and delivering training and awareness programs on data and model risk management best practices for business stakeholders
Provide oversight and direction for model lifecycle governance, including model onboarding, changes, validations, limitations, inactive models, and annual lifecycle reviews
Influence and partner with senior stakeholders across functions and regions to embed controls, strengthen governance, and drive consistent execution
Lead analysis of control environments and processes, identifying strategic opportunities to enhance control effectiveness, operational efficiency, and overall governance maturity

Fulltime

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

Market Risk Senior Analyst

This position provides an excellent opportunity for a quantitative risk analyst ...

Location

Poland , Warsaw

Salary:

241750.00 - 411650.00 PLN / Year

Citi

Expiration Date

Until further notice

Requirements

Experience in Risk and knowledge of one or more of the following is an advantage: derivatives pricing, exotic products, risk management practices, regulation, numerical computation, statistics
Experience in developing complex end-to-end models, including: identifying key steps, data analysis, ability to provide critical insights and original solutions
Expert level hands-on IT skills (for example: Python, C/C++, SQL, Excel, and other quantitative analytics software) are required
Excellent oral and written communication skills. Ability to communicate with people at all levels of seniority in the organization
Ability to listen and understand stakeholders’ needs and find effective/comprehensive solutions
Educated to postgraduate level (preferably MSc or PhD in financial, mathematical or similar quantitative field), with an excellent academic record

Job Responsibility

Develop methodology for quantitative analysis required on various work streams for Basel 2.5 implementation within the bank
Provide robust, controlled, reusable, and scalable analytics capabilities to address specific Legal Entities requirements (VaR breach analysis, Backtesting, ad-hoc analyses requested by other teams)
Produce high quality documentation for models, interact with the model validation team
Work with existing market risk models as required, and provide solutions where weaknesses are identified in testing, or where new business needs require model enhancements
Interact confidently with other risk management teams, governance teams, the front office, technology and control groups to implement improvements to the market risk models and to support any related production processes
Prepare reports and detailed quantitative analysis for presentation to senior management and regulators
Pro-actively develop deep knowledge of the forthcoming Market Risk regulations of the Fundamental Review of the Trading Book (FRTB) and its application in the legal entity

What we offer

Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program)
Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates
Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates
Employee Assistance Program financed by Employer
Paid Parental Leave Program (maternity and paternity leave
statutory and 2 weeks additional paid paternity leave)
Sport Card for employees subsidised via Social Benefits Fund and Sport Cards for certain family members available at preferential rates
Additional benefits from Company’s Social Benefit Fund
Additional day off for volunteering
Cafeteria/ flex benefit

Fulltime

APAC Prime Finance and FDC (Futures & Derivatives Clearing) Risk Manager

Citi is seeking a senior In-Business Risk (IBR) professional to join the APAC Eq...

Location

Hong Kong , Hong Kong

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Extensive front-office risk management experience (1LoD) in an institutional setting
15+ years in financial services preferred, with experience leading analytical teams preferred
Subject matter expertise in Prime Brokerage and FXPB platforms, including cash and synthetic prime, equity delta one, and secured financing structures
Ability to work well with cross-functional teams from Product, Sales, Credit, Risk, Technology, Operations, Legal and Compliance
Working knowledge of Cash Equities, Futures, OTC Clearing, and QIS, including systematic and factor-based investment approaches
Experience with Prime Brokerage and Listed derivatives client documentation (PBAs, ISDAs, CSAs, Clearing Agreements, Market specific clearing agreements) and negotiating term agreements
Previous client-facing experience with hedge funds and institutional counterparties, including APAC-based clients
Experience engaging with regulators (e.g., MAS, SFC, HKMA) on risk management-related issues preferred
Exceptional analytical and quantitative modelling skills with strong attention to detail
Scenario stress testing acumen

Job Responsibility

Oversee daily client portfolio exposures to ensure risks are controlled, optimally sized, and within approved limits
Serve as a senior escalation point for counterparty risk events, emerging credit concerns, and crisis management across all covered business lines
Facilitate new client trades and manage existing portfolio exposures, ensuring market-driven counterparty risk, documentation, legal, and reputational risks are well-controlled
Interface directly with clients to help Citi grow the platform
participate in client pitches, term negotiations, and ongoing dialogue to support risk-efficient returns growth
Work closely with Sales and Client Onboarding teams to ensure appropriate risk frameworks are in place from inception
Perform trade and portfolio risk analysis incorporating scenario stress testing, sensitivity analysis (Greeks, VaR, liquidation costs), and margin adequacy assessments
Formulate views on product risk appetite
review and challenge business stakeholder requests with a balanced risk-reward perspective
Establish and maintain limit structures and governance processes to ensure clients operate within approved risk parameters

Fulltime

Risk Model Development Intermediate Analyst

The Model/Anlys/Valid Intmd Anlyst is a developing professional role. Deals with...

Location

India , Haryana, India, Bengaluru, Karnataka

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years experience
Proficient in Microsoft Office with an emphasis on MS Excel
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Demonstrated project management and organizational skills and capability to handle multiple projects at one time
Bachelor’s/University degree or equivalent experience
5+ years of experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, or econometric modeling and in-depth knowledge on the use of statistical models to solve business problems
Experience of end-to-end credit risk modeling highly preferred
Experience of CCAR and CECL preferred
Strong programming (SAS, SQL, Python, R, etc.) and quantitative analytics (regression, time series, decision tree, linear/nonlinear optimization etc.) skills preferred

Job Responsibility

Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational
Supports the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management
Reviews institutional or retail analytics and Models and other documents to ensure compliance with various regulatory and legal requirements
Identifies potential risks and escalates for further review
Handles preliminary investigations, assists with reconciliation procedures and prepares routine correspondence
Creates and maintains reports for control, tracking, and analysis purposes and ensures appropriate and secure retention of documents
Works with more senior staff in investigating and responding to customer and operational complaints
Interacts and works with other areas within Risk Management, as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets
Participate in building champion/benchmark models for CCAR, CECL, IFRS9, and other regulatory/internal purposes for Citi's international and U.S. secured portfolios

Fulltime

Senior Manager, Reporting & Analytics

The Senior Manager, Reporting & Analytics will lead a team of Senior Business An...

Location

United States , Bellevue; Overland Park

Salary:

121100.00 - 218500.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelors degree in Data analysis, data science, decision science, statistics, or similar quantitative fields and 7 years of related work experience OR a combination of education and experience deemed equivalent
Business intelligence tools (eg Business objects, cognos, Hyperion etc)
Reporting and analyzing performance & data visualization (Tableau, Power BI, etc.)
Advanced analytics including SQL/ETL, analysis of complex datasets, competitive analysis, quantitative analysis & research
2-4 years Managing a team of finance or analytics professionals
SQL or database management experience
Financial Analysis & Financial Modelling
Database Skills
Microsoft Office skills
At least 18 years of age

Job Responsibility

Lead and develop a high-performing team of analysts focused on delivering high-quality reporting, insights, and decision support
Own the design, development, and evolution of reporting frameworks and data models that provide visibility into financial, commercial, product, and operational performance
Translate complex quantitative and qualitative data into actionable insights that clearly articulate drivers behind KPIs and business outcomes
Drive advanced analysis, including whitespace and opportunity analysis, trend forecasting, and root-cause diagnostics
Partner closely with Product, Commercial, FP&A, Finance, Strategy, and Channel teams to ensure reporting aligns with business priorities and strategic objectives
Oversee the integration of front-end, back-end, and enterprise data systems to create scalable, accurate, and user-friendly reporting solutions
Present findings and strategic recommendations to leadership in clear, concise, and visually compelling formats tailored to diverse audiences
Standardize and administer enterprise reporting solutions to ensure consistency, governance, and data integrity across stakeholders
Construct executive-level presentations and present complex analytical findings in clear, concise and decision-impacting manner
Collaborate with leadership to deliver reporting solutions & deep analytics that drive financial, commercial, product and operational results

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Employee stock grants
Employee stock purchase plan
Paid time off

Fulltime

Quantitative Senior Analyst

The Model/Anlys/Valid Sr Analyst is a seasoned professional role requiring advan...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-13 years experience in business and data analysis, process improvement and project management
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Methodical attention to detail
Knowledge in statistics and statistical modeling
Experience using tools for statistical modeling of large data set
Advanced Python programming skills
Advanced Analytics skills
Experience in ML / Generative AI
Proficient in MS Office applications (Excel, Word, PowerPoint)

Job Responsibility

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function
Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business
Evaluates moderately complex and variable issues with substantial potential impact
Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources
Regularly assumes informal/formal leadership role within teams
Involved in coaching and training of new recruits

What we offer

Resources to meet your unique needs
Empowerment to make healthy decisions
Management of financial well-being to help plan for your future
Inclusive workplace
Volunteerism opportunities

Fulltime

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Senior Manager, Quantitative Analysis - Model Risk Office

Job Description

Job Responsibility

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