CrawlJobs Logo

Senior Quantitative Analytics Specialist

https://www.wellsfargo.com/ Logo

Wells Fargo

Location Icon

Location:
India , Bengaluru

Category Icon
Category:

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist.

Job Responsibility:

  • Perform highly complex activities related to creation, implementation, and documentation
  • Use highly complex statistical theory to quantify, analyze and manage markets
  • Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
  • Utilize structured securities and provide expertise on theory and mathematics behind the data
  • Manage market, credit, and operational risks to forecast losses and compute capital requirements
  • Participate in the discussion related to analytical strategies, modeling and forecasting methods
  • Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
  • Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Requirements:

  • 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Nice to have:

  • Prior experience in development/validation of different types of AI/ML marketing models. Good understanding of marketing strategies for lending products such as personal loans, credit cards, and mortgages
  • Prior exposure to regulatory framework related to model risk management

Additional Information:

Job Posted:
February 13, 2026

Expiration:
February 26, 2026

Employment Type:
Fulltime
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Quantitative Analytics Specialist

Counterparty Risk Portfolio Analytics and Models specialist

The Counterparty Credit Risk Portfolio Analytics and Models specialist is a seni...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience
  • working experience in a quantitative field, Financial/Banking industry preferred
  • strong quantitative skills, particularly with respect to counterparty credit risk measures and calculations
  • deep modeling expertise and experience with analytic techniques and tools
  • excellent analytical thinking, practical problem solving abilities, and partnership skills
  • expertise in R, Python, H2O, and SAS
  • willing to learn and can-do attitude
Job Responsibility
Job Responsibility
  • Lead the optimization of the key counterparty risk and liquidity metrics used to monitor the risk appetite and risk capacity of the business against limits
  • accuracy and completeness of Credit Data: ensure that data captured in our counterparty credit infrastructure are in line with the approvals and conform to best in class standards
  • on-going monitoring and portfolio risk drivers identification processes: deliver timely, high-quality analysis of existing portfolio exposures including pockets of client trades and or/collateral concentrations
  • support the integration of the risk management processes for Wealth Management exposures and portfolios into the ICM operating model
  • ensure timely tracking and escalations around exposure and losses monitoring
  • partner with the CCR Models’ Sponsors and relevant Risk teams for the aspect of the Model Risk Governance related to changes, processes and procedures
  • establish relationships with a network of key stakeholders, partnering with senior colleagues in the Business as well as with risk management, technology, reporting and operations teams to drive implementation of strategic initiatives
  • Fulltime
Read More
Arrow Right
New

Senior Quantitative Analytics Specialist

Wells Fargo is seeking a Senior Quantitative Analytics Specialist.
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
February 26, 2026
Flip Icon
Requirements
Requirements
  • 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Job Responsibility
Job Responsibility
  • Perform highly complex activities related to creation, implementation, and documentation
  • Use highly complex statistical theory to quantify, analyze and manage markets
  • Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
  • Utilize structured securities and provide expertise on theory and mathematics behind the data
  • Manage market, credit, and operational risks to forecast losses and compute capital requirements
  • Participate in the discussion related to analytical strategies, modeling and forecasting methods
  • Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
  • Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
  • Fulltime
Read More
Arrow Right
New

Senior Quantitative Analytics Specialist

Wells Fargo is seeking a Senior Quantitative Analytics Specialist to fill the ro...
Location
Location
United States , Charlotte
Salary
Salary:
Not provided
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
February 20, 2026
Flip Icon
Requirements
Requirements
  • 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Job Responsibility
Job Responsibility
  • Ensure Capital Model Regulatory Compliance
  • Support and lead Assessment and Design of Modeling Requirements
  • Assess key model risks and modeling impacts
  • Develop and operate what-if analysis and benchmarking tools
  • Support and lead model calibration operations
  • Fulltime
!
Read More
Arrow Right
New

Senior Quantitative Analytics Specialist - Machine Learning

Wells Fargo is seeking a Senior Quantitative Analytics Specialist.
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
February 26, 2026
Flip Icon
Requirements
Requirements
  • 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Job Responsibility
Job Responsibility
  • Perform highly complex activities related to creation, implementation, and documentation
  • Use highly complex statistical theory to quantify, analyze and manage markets
  • Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
  • Utilize structured securities and provide expertise on theory and mathematics behind the data
  • Manage market, credit, and operational risks to forecast losses and compute capital requirements
  • Participate in the discussion related to analytical strategies, modeling and forecasting methods
  • Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
  • Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
  • Fulltime
Read More
Arrow Right
New

Senior Lead Java Securities Quantitative Analytics Specialist

Wells Fargo is seeking a Quantitative Software Engineer, Executive Director (Sen...
Location
Location
United States , New York; Charlotte
Salary
Salary:
215000.00 - 355000.00 USD / Year
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
February 21, 2026
Flip Icon
Requirements
Requirements
  • 5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of hands-on coding experience, Java and C++ are most relevant
  • 3+ years of product and market experience in mortgages
  • 6+ years of Java experience with emphasis on functional programming
  • 1+ years of C++ experience
  • Experience with asynchronous event driven or reactive programming architectures
  • Experience interpreting and solutioning for risk
  • Master's degree or higher in computer science or finance/mathematics
  • Experience in software development cycle and agile technologies, e.g. Git, Jira, Confluence
  • Experience in or passionate about Agentic AI
Job Responsibility
Job Responsibility
  • Partnership with Technology teams to enhance and improve the capabilities of the new strategic valuation and risk platform
  • Integration of mortgage pricing and risk analytics in collaboration with other quant teams, providing expertise in design and implementation issues
  • Effective communication and collaboration with Business Stakeholders, other Quant Teams, Technology Partners, and Project Management
  • Analyze performance, propose remedial or optimization plans, and ensure execution to enhance the new strategic valuation and risk platform for the securities businesses
  • Consistently deliver high-quality software and documentation in an Agile SDLC
  • Proactively participate in complex software design & development activities within an Agile environment
  • Contribute to large-scale project planning, balancing short and long-term objectives
  • Generate, test, implement, and deploy ideas to improve system performance or team productivity
  • Use quantitative and technological techniques to solve complex business problems
  • Meet deliverables while leveraging solid understanding of policies, procedures, and compliance requirements
What we offer
What we offer
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Fulltime
!
Read More
Arrow Right

Senior Manager, Quantitative Analysis - Model Risk

Senior Manager, Quantitative Analyst within the Model Risk Office, you will be p...
Location
Location
United States , McLean
Salary
Salary:
229900.00 - 262400.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A 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
Job Responsibility
Job Responsibility
  • Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools
  • Develop alternative model approaches to assess model design and advance future capabilities
  • Understand relevant business processes and portfolios associated with model use
  • Understand technical issues in econometric, statistical, and machine learning modeling and apply these skills toward developing models and assessing model risks and opportunities
  • Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication
  • prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management
  • Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices
  • Develop and maintain high quality and transparent documentation
  • Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework
What we offer
What we offer
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Fulltime
Read More
Arrow Right

Senior Credit Portfolio Risk Manager

Senior management-level position leading credit risk function for unsecured lend...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, Engineering, or Computer Science
  • Master's degree or MBA preferred
  • Minimum of 8-10 years of experience in credit risk management within the financial services industry
  • Significant focus on unsecured lending
  • Proven experience in a leadership or team management role
  • Extensive experience in developing, testing, optimizing, and implementing credit strategies
  • Advanced proficiency in statistical modeling, predictive analytics, machine learning techniques, and quantitative methods for credit risk
  • Strong understanding of data warehousing, SQL, and experience with large datasets
  • Deep understanding of credit lifecycle management (origination, account management, collections), PD/LGD/EAD modeling, stress testing, and regulatory requirements
  • Expertise in analytical tools such as SAS, R, Python, SQL, and data visualization tools
Job Responsibility
Job Responsibility
  • Develop, implement, and continually refine credit risk strategies for unsecured lending products
  • Utilize advanced risk analytics and loss forecasting techniques to identify emerging trends and assess portfolio performance
  • Monitor key financial drivers and portfolio metrics to inform decision-making
  • Collaborate with product, marketing, finance, and operations teams to align risk strategies with business objectives
  • Lead the development, validation, and implementation of predictive credit risk models, scorecards, and decision engines
  • Oversee data management practices for credit risk
  • Lead, mentor, and develop a team of risk analysts and specialists
  • Build and maintain strong relationships with internal stakeholders across various departments
  • Lead the end-to-end process of developing new credit strategies
  • Design and execute champion/challenger tests and other experimental designs
What we offer
What we offer
  • Extensive on-the-job training and exposure to senior leaders
  • Traditional learning opportunities
  • Chance to give back and make a positive impact through volunteerism
  • Resources to meet unique needs
  • Empowerment to make healthy decisions
  • Support for managing financial well-being and planning for future
  • Fulltime
Read More
Arrow Right

Head of Risk QA Software Architecture

Design, deliver, and govern QA software and technology solutions that align with...
Location
Location
Czechia , Prague
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong knowledge of enterprise architecture frameworks
  • Proficiency in software engineering principles and cloud-native architectures
  • Experience with Agile delivery and technical product ownership
  • Excellent stakeholder management and communication skills
  • Tenacity and perseverance to negotiate and influence multiple stakeholders
  • Proven track record in solution architecture and enterprise architecture roles
  • Hands-on experience in software engineering and technical leadership
  • Familiarity with governance processes and technology roadmaps
  • Experience building highly scalable end to end systems of financial models and calculations and their integration with Technology platforms
Job Responsibility
Job Responsibility
  • Define and document end-to-end solution architectures that meet functional and non-functional requirements, driving QA Software Product strategy
  • Maintain architecture frameworks, enforce standards, and ensure interoperability across systems
  • Collaborate with QA development and Infrastructure teams, as well as with Technology to provide technical guidance, and drive automation and use of AI in CI/CD practices
  • Manage stakeholder expectations within QA and Technology to balance short-term delivery with long-term integrity
  • Ensure solutions meet performance, scalability, and resilience targets while mitigating technical risks
  • Establish colleague training on systems engineering and architecture
  • Design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
  • Design analytics and modelling solutions to complex business problems using domain expertise
  • Collaboration with technology to specify any dependencies required for analytical solutions
  • Development of high performing, comprehensively documented analytics and modelling solutions
What we offer
What we offer
  • Structured approach to hybrid working
  • Supportive and inclusive culture and environment
  • Opportunity to explore flexible working arrangements
  • Incredible variety, depth and breadth of experience
  • Chance to learn from a globally diverse mix of colleagues
  • Encouragement to embrace mobility
  • Fulltime
Read More
Arrow Right