Lead Securities Quantitative Analytics Specialist Job at Wells Fargo (Charlotte)

Lead Java Securities Quantitative Analytics Specialist

Wells Fargo is seeking a Quantitative Software Engineer, Executive Director (Sen...

Location

United States , Charlotte

Salary:

Not provided

Wells Fargo

Expiration Date

March 14, 2026

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

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

This position is eligible for Visa sponsorship

Fulltime

Lead Quantitative Analytics Specialist

Wells Fargo is seeking a Lead Quantitative Analytics Specialist for its model De...

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

March 29, 2026

Requirements

5+ 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
Strong analytical skills with high attention to detail and accuracy
Knowledge in financial products and market and/or counterparty risk
Programming skills using SQL/Python/Excel/Java/R

Job Responsibility

Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory
Qualify monitor markets and forecast credit and operational risks
Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis
Review and assess models inclusive of technical, audit, and market perspectives
Identify structure and scope of review
Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models
Collaborate and consult with regulators and auditors
Present results of analysis and strategies

Fulltime

Lead Quantitative Analytics Consultant - NLP / GenAI

Analytic Consultant/Data Scientist is a partner-facing role and is responsible f...

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

March 31, 2026

Requirements

8+ years of experience in the field of data science and analytics
Deep working knowledge of machine learning and deep learning, including model selection, training dynamics, overfitting, and evaluation tradeoffs
Practical mastery of prompt engineering and LLM behavior control, including structured prompting, chain-of-thought, robustness, and security considerations
Ability to design and optimize Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, chunking, and reranking techniques
Experience with model evaluation, monitoring, and Responsible AI, including bias, hallucination mitigation, governance, and human-in-the-loop validation
Strong MLOps/LLMOps capabilities, covering model lifecycle management, experiment tracking, deployment, cost control, and latency optimization
Proficiency in Python-based data science and software engineering, with experience integrating GenAI into scalable, production-grade systems
Exploratory Data analysis
Provide exploratory data analysis using Python/R/SAS / SQL
Experience with Databases like oracle , Teradata, Sql server

Job Responsibility

Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
Person will be leading small group of junior data scientists and work as a technical lead to support enterprise grade Gen AI programs
He/she would be developing statistical/machine learning/GenAI models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.
Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.
Define business problem and translate it into analytical problem.

Fulltime

Specialist HR Systems & Solutions (Compensation Configuration)

Amgen is seeking a Specialist HR Systems & Solutions (Compensation Configuration...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

5 years minimum experience in human resources with hands on experience with the Compensation and Advanced compensation modules within Workday
Master’s degree, OR Bachelor’s degree and 5 years of HR IS experience
Workday certification is preferred
Strong configuration knowledge of Workday's Compensation and Advanced Compensation modules
Experience in creating and using Workday reports
10+ years’ experience in human resources
Excellent analytical and troubleshooting skills
Strong quantitative, analytical (technical and business), problem solving skills, and attention to detail
Strong verbal, written communication and presentation skills
Ability to work effectively with global, virtual teams

Job Responsibility

Serve as the key Workday configuration expert on Core Compensation and Advanced Compensation modules
Support the annual compensation review cycle, including merit increase, bonus, and equity grant processes, ensuring accuracy and compliance with established timelines
Lead research, evaluation, planning, and deployment of technology-related HR initiatives
Advise the Business Product Owner on Workday Best Practices and opportunities for innovation
Deliver training materials and partner in change management efforts and organizational readiness
Support other functional areas such as Core HCM, recruitment, Time/Absence, and Payroll as necessary
Apply Amgen’s Information Security and Privacy policies, standards, and processes to ensure the confidentiality and integrity of our HR data
As needed, function as Project Manager for enhancements in the Total Rewards space
Work with HR Technology service provider for complex project implementations
Responsible for successful implementation of new functionality and/or processes within project timelines

What we offer

Reasonable accommodation for individuals with disabilities

Process Reengineering Analyst

The Process Reengineering Analyst assumes a critical role in independently analy...

Location

Mexico , Ciudad De Mexico

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-10 years of progressive experience in process improvement, business analysis, or a closely related field, with at least 2-3 years in a lead or specialist capacity demonstrating independent project leadership
Strong proficiency in advanced data analysis, statistical methods, and visualization tools, including expert-level command of SQL (especially PostgreSQL) and proven experience with business intelligence platforms like Tableau or Power BI
Proven expertise in back-end development using Node.js, C#, or similar languages, including proficiency in Web Services development (REST/SOAP APIs), API integration, and data persistence with various database technologies
Strong experience with front-end web development technologies, including Angular, Vue.js, React (or similar modern frameworks), HTML, CSS, and JavaScript/TypeScript
Demonstrated proficiency in scripting languages like Python or JavaScript for automation tasks
Experience with version control systems (e.g., Git) and an understanding of collaborative software development workflows
Familiarity with secure coding practices and API documentation standards
Demonstrated ability to independently lead and drive process improvement initiatives and guide project teams
Highly developed analytical and problem-solving skills, with a proven ability to apply critical thinking to complex business challenges
Excellent communication, interpersonal, and presentation skills, with the ability to articulate technical concepts and business impacts clearly to diverse audiences

Job Responsibility

Lead and conduct in-depth analyses of existing business processes, applying advanced techniques such as value stream mapping, process mining, and root cause analysis to identify systemic bottlenecks, inefficiencies, critical pain points, and areas ripe for strategic improvement
Drive the development of comprehensive process maps, detailed workflows, and sophisticated data models to accurately visualize current-state complexities and articulate optimal future-state processes
Facilitate and lead process redesign workshops with cross-functional teams, ensuring alignment and buy-in on proposed solutions
Lead the gathering and analysis of complex data from diverse sources, including enterprise transactional systems, data warehouses, and spreadsheets, utilizing advanced SQL, Python/R scripting for data manipulation, and various data analysis tools
Interpret complex datasets to identify actionable insights that directly inform process redesign decisions, optimization opportunities, and strategic business recommendations
Present analytical findings and recommendations clearly and concisely to stakeholders, including senior management
Lead the design and implementation of significant process improvements, leveraging automation through advanced scripting, software development, and integration techniques
Oversee efforts to streamline and standardize workflows, ensuring solutions are scalable, maintainable, and aligned with business objectives
Collaborate closely with technical teams for the successful deployment and integration of automated solutions
Develop, implement, and maintain advanced interactive dashboards and comprehensive reports using tools like Tableau, Power BI, or similar platforms, to effectively track key performance indicators (KPIs) and monitor process performance

Fulltime

Senior Data Scientist (AI/ML)

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

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

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

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Senior Data Scientist

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

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

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

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Braze Specialist

Join a global leader in entertainment and media, a company renowned for bringing...

Location

United States , New York

Salary:

48.00 - 53.33 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

3+ years of professional experience in marketing operations, analytics, or similar applied roles
1+ years of experience actively contributing to agile team environments
Demonstrated proficiency in coding template scripting languages (e.g., liquid, handlebars)
Solid working knowledge of best practices across various messaging channels (email, push notifications, in-app messaging)
Proven experience in designing and executing experiments with a focus on minimizing bias
An unwavering commitment to quality, with a keen eye for detail and the ability to readily identify potential issues
Exceptional writing skills for crafting clear documentation, detailed solution designs, and insightful reports
Excellent communication skills, capable of effectively engaging with globally diverse cultures
A curious and analytical mindset, driven by a desire for continuous improvement and expertise development
Flexibility to be on-call for business-critical launches when required

Job Responsibility

Collaborate closely with marketing strategists in refinement sessions to deeply understand and finalize their campaign requirements
Develop and propose innovative custom or experimental messaging solutions tailored to specific marketing strategies, securing stakeholder buy-in
Construct robust messaging solutions, rigorously conducting self-quality assurance testing to ensure excellence
Facilitate and lead user acceptance testing (UAT) with marketers for custom-built solutions, ensuring they meet strategic objectives
Perform peer-review quality assurance for team members, ensuring all messaging solutions are deployment-ready and meet the highest standards
Proactively monitor solution deployments for a defined period, swiftly identifying and addressing any potential bugs or issues
Leverage business intelligence reporting and analytical queries to measure the impact of deployed solutions, translating insights into actionable recommendations for future refinements and team reporting

What we offer

subsidized health, vision, and dental plans
paid sick leave
retirement plans with a match

Lead Securities Quantitative Analytics Specialist

Wells Fargo

Location:
United States , Charlotte

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 12, 2026

Expiration:
March 27, 2026

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