CrawlJobs Logo

Senior Quantitative Model Solutions Specialist

https://www.wellsfargo.com/ Logo

Wells Fargo

Location Icon

Location:
India , Bengaluru

Category Icon
Category:
Finance

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist for the Unsecured / Small Business Retail team.

Job Responsibility:

  • Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation
  • Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives
  • Advise and guide team on moderately complex model optimization and processes strategies
  • Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements
  • Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
  • Provide analytical expertise in Credit Risk model monitoring, implementation, and execution for Retail portfolios, with primary responsibility for technical tasks and deliverables
  • Collaborate with stakeholders across multiple engagements to support team objectives and ensure successful project outcomes
  • Play a key role in projects related to implementation, execution, and monitoring of CECL, IFRS9, Basel, and CCAR stress testing models for Retail portfolios
  • Lead and perform complex activities related to predictive modeling
  • deliver analytical support for developing, evaluating, implementing, monitoring, and executing credit and PPNR models across retail business verticals
  • Design and develop dynamic dashboards
  • analyze key risk parameters to interpret trends and assess business and model performance
  • Take initiative in identifying opportunities for process improvement, standardization, automation, and infrastructure enhancement
  • contribute to the design and delivery of solutions to optimize performance analysis, reporting, and business loss forecasting processes
  • Participate in developing documentation frameworks focused on standardization of controls and best practices for model development, implementation, and monitoring
  • Communicate findings, insights, and recommendations for action to management and business partners
  • contribute to discussions on strategy, policies, and procedures regarding model development, validation, and execution
  • Serve as a subject matter expert in predictive analytics and credit risk modeling, providing guidance and consultation on model development, implementation, model performance analysis, and execution
  • Demonstrate advanced project management, coding, and data analysis skills to ensure timely and high-quality execution of team deliverables

Requirements:

  • 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Bachelor's degree from a premier institute or Masters/PhD degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
  • 4+ years of experience in credit risk analytics or credit risk modeling/monitoring/implementation roles
  • Advanced programming skills in Python, SAS and SQL
  • Good exposure to business intelligence tools such as Tableau/PowerBI for dashboarding
  • Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
  • Excellent verbal, written, and interpersonal communication skills
  • Strong ability to develop partnerships and collaborate with other business and functional areas
  • Knowledge and understanding of issues or change management processes
  • Experience in regulatory models for CCAR Stress testing, CECL, IFRS9, RRP, and Basel
  • Strong understanding of Retail business (Home Lending, Auto, Cards, Personal Loans)
  • Comprehensive view of the regulatory requirements
  • Ability to systematically probe, research, identify and analyze business problems using problem solving skills
  • Ability to lead high performing advanced quantitative analytics teams and stakeholder management
  • Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
  • Understanding of bank regulatory data sets and other industry data sources
  • Flexibility with changing priorities
  • Knowledge of SR 15-18 and SR 11-7 guidelines

Additional Information:

Job Posted:
March 25, 2026

Expiration:
March 26, 2026

Employment Type:
Fulltime
Icon
Wells Fargo - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for Senior Quantitative Model Solutions Specialist

Senior Solution Architect AI & HPC

AI is a high-growth market for HPE, and we believe we are uniquely suited to bri...
Location
Location
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Engineering, Computer Science, or similar quantitative focus preferred
  • Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
  • Expertise in cloud architectures, specifically with public cloud platforms such as AWS, Azure, or Google Cloud
  • Strong understanding of AI technologies, including machine learning, deep learning, and neural networks
  • Experience participating in solution configurations and the creation of PoCs to meet customer requirements
  • Solid knowledge of infrastructure components, including servers, storage, networking, and virtualization
  • Experience with high-performance computing (HPC) and GPU-accelerated systems is advantageous
  • Demonstrates expert technical skills in assigned area of specialization
  • Expert knowledge of the company offerings, strategic initiatives, current trends, competitor products and strategies within area of responsibility
  • Expert level written and verbal communication skills and mastery over English and local language
Job Responsibility
Job Responsibility
  • Collaborate with sales teams to understand customer requirements and develop tailored solutions for their AI infrastructure needs
  • Engage in pre-sales activities, including technical presentations, demonstrations, and proof-of-concepts
  • Act as a trusted advisor to customers, addressing their questions, concerns, and technical challenges effectively
  • Stay up-to-date with the latest advancements in AI technologies, cloud architectures, and infrastructure trends
  • Lead Proof-of-Concepts (PoC) for HPE customers expanding into Deep Learning or Machine Learning use cases
  • Architect reusable end-to-end AI solutions for HPE customers and prospects
  • Lead technical discussions with customers and partners to propose HPE and partner Integrated solutions
  • Identify solutions, define action plans, and help coordinate and deliver optimal solutions and enhancements
  • Recommend configurations and settings for different types of hardware and interconnect fabrics
  • Assist in any product or technical issue towards an initial sale or renewal of a customer
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
  • 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
New

Lead Securities Quantitative Analytics Specialist

Wells Fargo is seeking a Lead Securities Quantitative Analytics Specialist (Vice...
Location
Location
United States , Charlotte; New York
Salary
Salary:
185000.00 - 300000.00 USD / Year
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
March 26, 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
  • 1+ years of Python 3 experience
  • A master's degree or PhD in a quantitative discipline
  • 3+ years of hands-on coding experience, Python 3 is most relevant
  • 3+ years of product and market experience in various asset classes: rates, foreign exchange, credit, and mortgages, and structured products
  • 3+ years of quantitative analytics development and support experience in a buy-side or sell-side institution or a quant solution vendor
  • Expert working knowledge in ALM framework and concepts
  • Experience using ALM systems (QRM, Polypaths, etc)
  • Experience with numerical and scientific computing libraries such as NumPy, pandas, SciPy, and PyTorch or TensorFlow
  • Excellent analytical, interpersonal, oral and written communication skills with a strong attention to detail across multiple audiences (Technology, Quants, Senior Management)
Job Responsibility
Job Responsibility
  • Develop models to calculate various ALM metrics – NII, interest rate risk, liquidity risk, etc
  • Conduct forecasting and net interest margin analysis
  • Integration of pricing and risk analytics in collaboration with other quant teams relate to ALM
  • Effective communication and collaboration with Business Stakeholders, other Quant Teams, Technology Partners, and Project Management
  • Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics
  • Lead the strategy, implementation, and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas companywide
  • Deliver solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking, and coordination of highly complex activities and guidance to others
  • Use quantitative and technological techniques to solve complex business problems
  • Work constructively in collaboration with business, model development, model validation, and information technology
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

Expert Consultant, Financial Modeling & Data Analytics Specialist

This role is ideal for professionals with a strong background in financial model...
Location
Location
Germany , Düsseldorf
Salary
Salary:
Not provided
bcg.com Logo
Boston Consulting Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree in finance, economics, accounting, engineering, or a related quantitative field
  • Strong academic foundation in corporate finance, financial accounting, and quantitative analysis
  • 3–4 years of experience in financial modeling, valuation, and analytics within restructuring, transformation, transaction services, or financial advisory environments (e.g., Big 4, consulting, corporate finance or restructuring advisory)
  • Proven experience in building integrated financial and business planning models, including scenarios and stress tests
  • Advanced proficiency in Excel-based financial modeling
  • Experience with data analytics and visualization tools (e.g., Power BI, Tableau)
  • Working knowledge of VBA, Power Query, Alteryx, SQL, or Python is a strong plus
  • Openness to learning and applying more advanced planning and modeling platforms (e.g., Anaplan)
  • Strong curiosity for automation, large-scale data analytics, and GenAI-driven modeling approaches
  • Structured, detail-oriented, and hypothesis-driven working style
Job Responsibility
Job Responsibility
  • Act as an integral member of BCG’s client teams, contributing directly to strategic and operational decisions of international companies
  • Serve as an embedded modeling and analytics expert within client-facing case teams
  • Collaborate closely with client counterparts to align on analytical approaches, assumptions, and data inputs
  • Support case team members and project leaders in shaping decision-relevant analyses and management-ready insights
  • Help translate complex analyses into clear narratives for senior management, lenders, and other key stakeholders
  • Design, build, and maintain advanced, integrated financial and business models to support restructuring, turnaround, and transformation cases across industries
  • Combine financial modeling and financial data analytics to generate deeper insights into performance, liquidity, value drivers, and risk
  • Develop robust business planning, scenario, stress-testing, and sensitivity frameworks to support high-stakes decision-making
  • Apply strong corporate finance and accounting principles to ensure models are consistent, auditable, and decision-ready
  • Leverage modern analytics, automation, and modeling tools to increase speed, quality, and scalability of analyses
Read More
Arrow Right

Equity Derivatives and Hybrids Quant Modeler

Join us in the role of Equity Derivatives and Hybrids Quant Modeler (Model Integ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD or master’s degree in financial mathematics, Mathematics or Physics
  • Prior experience developing and/or implementing Equity Derivatives models and hybrids (ideally). Strong knowledge of exotics models for other asset classes can also be considered
  • Provide expert advice to senior stakeholders on modelling topics, anticipating issues and weighing advantages and disadvantages of choices leading to models’ assumptions and limitations
  • Solid modelling skills (Python essential and optionally C++)
Job Responsibility
Job Responsibility
  • Present 1st line challenge to current models and assess impacts of models assumptions and limitations
  • Focus on model assessment, increasing testing coverage, automation, and steer governance for Equity Derivatives models
  • Provide an effective challenge to models by assessing the impact of their assumptions and limitations, focusing on the accuracy and robustness of the models
  • Explore alternative approaches to mitigate limitations and evolve trading, risk management platforms
  • Review models and documentation to provide guidance on their design
  • Implement, run and analyse performance tests using production C++ libraries and Python
  • Write high-quality documentation and automating tasks
  • Collaboration with traders, strategists, and stakeholders to gather requirements and translate them into scalable and efficient technological solutions
  • Implementation of new features, enhancements, and functionalities on trading platforms to improve performance, reliability, and user experience
  • Stay updated on technological advancements, industry trends, and best practices to drive innovation and continuous improvement in trading platforms
What we offer
What we offer
  • Structured approach to hybrid working
  • Supportive and inclusive culture and environment
  • Commitment to providing a supportive and inclusive culture
  • Opportunity to explore flexible working arrangements
  • Geographic reach, wide variety of functions, businesses, roles and locations
  • Chance to learn from a globally diverse mix of colleagues
  • Encouragement to embrace mobility
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of experience in a Data science role
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • 5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
  • Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
  • Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
  • Good team worker with excellent interpersonal, written, verbal and presentation skills
  • Experience building and optimizing data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
Job Responsibility
Job Responsibility
  • Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
  • Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
  • Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
  • Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
  • Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Work with data and analytics specialists to strive for greater functionality in our data systems
  • Identify trends, patterns from dataset to scope opportunities for automation
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
Read More
Arrow Right

Senior Data Scientist (AI/ML)

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of experience in a Data science role
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • 5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
  • Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
  • Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
  • Good team worker with excellent interpersonal, written, verbal and presentation skills
  • Experience building and optimizing data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
Job Responsibility
Job Responsibility
  • Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
  • Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
  • Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
  • Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
  • Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Work with data and analytics specialists to strive for greater functionality in our data systems
  • Identify trends, patterns from dataset to scope opportunities for automation
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
Read More
Arrow Right

Senior Data Scientist

As a Data Scientist within Jellyfish’s Cloud and Martech practice, you will help...
Location
Location
Mexico , Mexico City
Salary
Salary:
Not provided
jellyfish.com Logo
Jellyfish
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in data science, analytics, or a quantitative discipline
  • Strong proficiency in Python and SQL
  • Experience with data visualization tools such as Looker, Tableau, Matplotlib, or similar
  • Understanding of the digital marketing ecosystem, including paid media channels, web/app analytics, and measurement frameworks
  • Experience working with datasets from tools such as Google Analytics, Campaign Manager, Amazon Marketing Cloud, ADH, Meta, or equivalents
  • Familiarity with MMM, incrementality testing, attribution models, or causal inference techniques
  • Curiosity and initiative, you look for ways to improve, automate, and scale analytical work
  • Strong communication and collaboration skills, with the ability to explain complex methods to non-technical stakeholders
  • Exposure to machine learning concepts (hands-on experience is a plus)
Job Responsibility
Job Responsibility
  • Analyse large and complex datasets to uncover trends, diagnose performance issues, and generate actionable recommendations
  • Apply and explain data science methodologies such as Geo-based experiments, Media Mix Models, Causal Impact Studies, Incrementality testing, and other robust statistical approaches
  • Develop and implement predictive and causal models that improve media performance, customer experiences, and revenue outcomes
  • Work with internal partners and external platforms to advance our capabilities in incrementality testing, media modelling, and privacy-safe measurement techniques
  • Build reproducible analytical workflows, document processes clearly, and create repeatable frameworks that scale across clients and markets
  • Translate model outputs into compelling narratives through visualizations, dashboards, and structured readouts
  • Collaborate closely with Cloud Engineers, Analysts, and Martech specialists to ensure solutions integrate effectively into client ecosystems
What we offer
What we offer
  • Savings fund: You'll save 5% of your monthly income and Jellyfish will contribute the same amount you save to your savings fund
  • Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours
  • Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn
  • Health Insurance: We provide a private health insurance policy that includes visual and dental plan coverage
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy