Senior Quantitative Analytics Specialist Job at Wells Fargo (Bengaluru)

Lead Securities Quantitative Analytics Specialist

Wells Fargo is seeking a Lead Securities Quantitative Analytics Specialist.

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

July 07, 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
A master’s or PhD in quantitative fields such as math, statistics, engineering, physics, economics, computer sciences, etc.
Min 5+ years of relevant experience in Securities Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Min 5+ years' experience in Rates Quant
Excellent verbal, written, presentation and interpersonal communication skills
Hands-on experience in programming in JAVA-8(functional programming)
Good writing skills
5+ years' experience coding in Java or C++

Job Responsibility

Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics
Develop automated trading algorithms, create cutting-edge derivative pricing models and empirical models, to provide insight into market behavior
Review and analyze complex multi-faceted, larger scale or longer-term business, operational, or technical challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
Use quantitative and technological techniques to solve complex business problems
Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
Resolve issues and achieve goals
Make decisions on complex and multi-faceted situations requiring understanding of Securities Quantitative Analytics, policies, procedures, and compliance requirements
Influence and lead the broader work team to meet deliverables and drive new initiatives
Lead projects, teams, or serve as a peer mentor
Collaborate and consult with peers, colleagues, and mid-level to senior managers

Fulltime

Senior Sales Analytics Specialist

The Senior Sales Analytics Specialist is an advanced subject matter expert, acco...

Location

India , Karnātaka

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Advanced understanding of advanced data analysis techniques, and the ability to uncover strategic insights from data
Advanced understanding of the business's sales objectives, market dynamics, and industry trends, with the ability to align data analysis with strategic objectives
Advanced collaboration skills, enabling effective teamwork with cross-functional teams and senior management
Advanced ability to translate complex data insights into actionable, understandable strategies for non-technical stakeholders
Excellent communication and presentation skills to convey complex data findings in a clear and actionable manner to non-technical stakeholders
Advanced understanding of data analysis tools including advanced Excel, advanced PowerBI, and at least one relevant coding language (for example DAX, R, Python etc.)
Advanced understanding of Structured Query Language for managing and querying relational databases
Advanced knowledge of techniques for transforming and structuring data for analysis and knowledge of ETL processes for data extraction and transformation
Advanced understanding of data security and privacy best practices, especially if working with sensitive or sensitive data
Advanced understanding of the business domain, industry, and the ability to translate data insights into actionable business recommendations

Job Responsibility

Accountable for driving tactical and strategic projects with cross-functional virtual teams to achieve specific business objectives
Responsible for analyzing complex business problems and issues using internal and external data to provide insights to decision-makers. Identifies and interpret trends and patterns in relevant datasets to locate influences and proactively identify meaningful quantitative analysis for distribution to business stakeholders to inform business decisions
Creates documented specifications for reports and analysis based on business needs and required or available data elements
Defines, develops, enhances, and tracks metrics and dashboard requirements to deliver results and provide insight and recommendations on trends
Responsible for data validation using advanced data analysis and tools to ensure analytics are valid, meaningful, and provide actionable and comprehensive insights
Accountable for strategic decision support to help the team answer strategic questions, make insightful data-driven business decisions, and properly design new initiatives
Provides technical advice, consultation, and knowledge to others within the relevant teams
Creates relevant reports and present on trends to convey actionable insights to stakeholders
Performs any other related task as required

Fulltime

Senior Commercial Analytics Specialist

The Sr. Commercial Analytics Specialist is responsible for analyzing the perform...

Location

United States , Madison

Salary:

91000.00 - 155000.00 USD / Year

Exact Sciences

Expiration Date

Until further notice

Requirements

Bachelor's degree in Math, Business, Computer Science, Engineering, or other field related to the essential duties
2+ years of working experience with SQL
2+ years of working experience with at least one data visualization tool (Tableau, Power BI, Qlik Sense, etc.)
3+ years of relevant business experience, or advanced degree, or professional certifications
Proficient in Microsoft Office
especially Excel
Demonstrated ability to apply qualitative or quantitative business analysis while leveraging primary or secondary data
Demonstrated ability to manage and leverage multiple data sources
Demonstrated ability to perform the Essential Duties of the position with or without accommodation
Authorization to work in the United States without sponsorship

Job Responsibility

Use descriptive and advanced analytics methods to generate actionable insights from large quantities of third party and/or enterprise data
Create and communicate the story through the data, using appropriate visualizations
Lead cross functional partnerships to understand business requirements, transform the requirements into analytical frameworks, and articulate the results in an actionable, cogent fashion to drive decisions
Collaborate with Commercial team members to identify performance KPIs and create automated reports to track those KPIs
Consistently build effective relationships with team members and clients
ability to influence directly and indirectly
Lead improvement efforts for reporting and tracking mechanisms (tools and processes) to support effective, accurate data analysis
Contribute to and support data management efforts that enable data to be used for business reporting and analytics
Process and synthesize complex data and ensure data integrity and accuracy
Proactively anticipates needs of the customer and delivers quality results independently

What we offer

paid time off (including days for vacation, holidays, volunteering, and personal time)
paid leave for parents and caregivers
a retirement savings plan
wellness support
health benefits including medical, prescription drug, dental, and vision coverage
bonus eligible

Fulltime

Senior Sales Analytics Specialist

Join a dynamic team as a Senior Sales Analytics Specialist, leveraging advanced ...

Location

India , Gurgaon

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Advanced understanding of advanced data analysis techniques, and the ability to uncover strategic insights from data
Advanced understanding of the business's sales objectives, market dynamics, and industry trends, with the ability to align data analysis with strategic objectives
Advanced collaboration skills, enabling effective teamwork with cross-functional teams and senior management
Advanced ability to translate complex data insights into actionable, understandable strategies for non-technical stakeholders
Excellent communication and presentation skills to convey complex data findings in a clear and actionable manner to non-technical stakeholders
Advanced understanding of data analysis tools including advanced Excel, advanced PowerBI, and at least one relevant coding language (for example DAX, R, Python etc.)
Advanced understanding of Structured Query Language for managing and querying relational databases
Advanced knowledge of techniques for transforming and structuring data for analysis and knowledge of ETL processes for data extraction and transformation
Advanced understanding of data security and privacy best practices, especially if working with sensitive or sensitive data
Advanced understanding of the business domain, industry, and the ability to translate data insights into actionable business recommendations

Job Responsibility

Accountable for driving tactical and strategic projects with cross-functional virtual teams to achieve specific business objectives
Responsible for analyzing complex business problems and issues using internal and external data to provide insights to decision-makers. Identifies and interpret trends and patterns in relevant datasets to locate influences and proactively identify meaningful quantitative analysis for distribution to business stakeholders to inform business decisions
Creates documented specifications for reports and analysis based on business needs and required or available data elements
Defines, develops, enhances, and tracks metrics and dashboard requirements to deliver results and provide insight and recommendations on trends
Responsible for data validation using advanced data analysis and tools to ensure analytics are valid, meaningful, and provide actionable and comprehensive insights
Accountable for strategic decision support to help the team answer strategic questions, make insightful data-driven business decisions, and properly design new initiatives
Provides technical advice, consultation, and knowledge to others within the relevant teams
Creates relevant reports and present on trends to convey actionable insights to stakeholders
Performs any other related task as required.

Fulltime

New

Senior Quantitative Model Solutions Specialist - Program Manager

Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

June 21, 2026

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
Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, economics, computer science, or related field
Proven ability in product management, solution management, program delivery, or technical product ownership, with a focus on Gen AI, AI/ML platforms, APIs, and/or cloud-native solutions
5+ Experience across the Gen AI AI/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring/observability, and model governance and risk controls
5+ Experience with enterprise MLOps and/or LLMOps practices, including CI/CD pipelines, model lifecycle automation, and monitoring frameworks
3+ years of hands-on experience with public cloud technologies (Google Cloud Platform and/or Microsoft Azure) and container orchestration (Docker, Kubernetes, OpenShift)
Familiarity with APIs, distributed systems, and cloud-native architectures supporting AI/ML workloads
Working knowledge of enterprise platform components and services such as Vertex AI, BigQuery, OpenShift, IBM Cloud Pak for Data (CP4D), and large-scale distributed model execution platforms
Strong analytical mindset with ability to track performance metrics, cost efficiency, and operational outcomes
Proven ability to develop and execute executive-level roadmaps, dashboards, and reporting that clearly demonstrate business impact and risk posture

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
Responsible for the execution of enterprise AI/ML platform initiatives, supporting model lifecycle activities across hybrid environments
Partner with business and technology teams to translate requirements into actionable delivery plans
Facilitate governance forums, leadership reviews, and stakeholder engagements to provide transparency into program status, risks, and outcomes
Develop and maintain standardized reporting, metrics, and dashboards to track platform adoption, operational performance, and business outcomes
Support Platform administration operations, including data governance, approvals, and compliance with enterprise data and privacy standards

Fulltime

!

Senior Specialist, Experience Researcher

At Mastercard, we believe that the future of our business depends on our ability...

Location

United States , O Fallon

Salary:

104000.00 - 177000.00 USD / Year

Mastercard

Expiration Date

Until further notice

Requirements

5+ years of experience in UX research, data analytics, or a related field, preferably in a product-led or digital environment
Strong expertise in qualitative and quantitative research methods (e.g., usability testing, interviews, surveys, ethnography) and experience conducting or supporting A/B tests and experimental design
Proficiency in analytics tools such as DOMO, Mixpanel, Amplitude, Tableau, Excel, or similar BI platforms
Demonstrated ability to translate complex data and research findings into clear, compelling narratives using strong oral and written communication skills
Familiarity with Design Thinking methodologies and experience applying them in cross-functional product teams
A strategic mindset with the ability to influence stakeholders at all levels and align research with business and customer needs
Experience leading cross-functional initiatives and presenting to senior leadership
A collaborative, inclusive approach to teamwork and a passion for mentoring others
Comfort balancing short-term delivery with long-term research planning
Curiosity and enthusiasm for evolving global consumer experiences in areas like payments, small business, digital identity, and loyalty

Job Responsibility

Participate in all phases of the research, strategy, and design process—from framing the problem and defining the design target to envisioning the future state experience and validating concepts
Develop and execute research approaches using a range of qualitative and quantitative methods, critically evaluating processes and applying statistical analysis where appropriate
Conduct generative and evaluative research, including drafting screeners, discussion guides, and surveys
moderate in-person and remote sessions
and collaborate with third-party vendors when needed
Apply critical thinking to synthesize findings, identify patterns and themes, and translate them into compelling insights and implications for product teams
Deliver insights at various stages of the product lifecycle to inform strategy and design decisions that lead to best-in-class experiences
Present key takeaways to stakeholders and confidently field questions during readouts
Guide research planning across teams, helping shape roadmaps and priorities based on user and business impact
Collaborate on experimentation frameworks (e.g., A/B testing, usability testing, cohort analysis) and integrate UX research with data analytics to inform product and business decisions

What we offer

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

Fulltime

Data Analytics Specialist

Are you a highly skilled Data Scientist looking for a high-impact contract oppor...

Location

Canada , Saint Albert

Salary:

Not provided

Randstad

Expiration Date

July 10, 2026

Requirements

Bachelor degree in Computer Science or a related field of study, or an equivalent combination of education and experience
Extensive experience using statistical and computer languages including R, Python, and SQL for data analysis
Proven track record in building and deploying end-to-end analytical or AI-enabled applications using modern web frameworks
Strong background in building quantitative analysis models and preparing data for predictive modeling
Demonstrated experience managing projects involving data science, data engineering, and complex statistical techniques

Job Responsibility

Provide leadership and technical expertise in the design and completion of complex analytic projects across various departments
Analyze and organize raw data to build algorithms and data models for prescriptive and predictive modeling
Design and support the development of custom dashboards, visualizations, and custom reporting tools
Collaborate with internal and external clients to understand and document their specific analytics requirements
Apply statistical classification techniques and machine learning methodologies to extract actionable knowledge from data
Create and present strategic roadmaps, frameworks, and briefings to senior executives regarding analytics services
Coach and mentor team members while fostering a client-centric approach to data solutions

What we offer

Work on high-profile data strategy initiatives that influence government-wide decision making and service delivery
Join a collaborative team of experts focused on innovation in machine learning, synthetic data, and predictive modeling
Opportunity to lead the design of end-to-end analytical applications and modern data service offerings
Engage in a diverse role that spans data engineering, technical analysis, and executive-level strategic advising
Contribute to a cultural shift where data is treated as a vital strategic asset for the public good

Middle Office Senior Specialist

Location

United States , Atlanta

Salary:

76000.00 - 95000.00 USD / Year

Voya Financial

Expiration Date

Until further notice

Requirements

Undergraduate degree in Finance, Accounting, Business Administration, or equivalent work experience
3 to 5 years of Industry experience within Middle office/Derivative Middle office/Accounting
Strong computer skills including knowledge of Microsoft products (i.e., Excel, Word, PowerPoint) and other PC-based software
Good analytical and quantitative skills
Excellent organizational skills
Ability to independently prioritize projects and work in a fast paced, multi-task environment
Excellent verbal and written communication skills
Knowledge of fixed Income securities, equities, and Alternative Assets
Proficient with Bloomberg, Tradeweb, Market Axess, Blackrock Aladdin, BNYM NEXEN

Job Responsibility

Support Front office/Investment teams by providing trade support for all Fixed Income and Equity products
Participate in trade capture of complex products including review of reconciliations to ensure accuracy of transactions
Coordinate processing of securities transfers, communicate with business partners, and make sure transactions are completed correctly and timely
Resolve complex trade issues that require extensive evaluation and perform Life cycle management across all fixed income and equity securities
Coordinate onboarding activities for new clients, strategies, products, and asset types
Support the Investment Teams to improve quality of information for downstream settlements and lifecycle events, including corporate actions
Perform Vendor oversight of key Middle office functions
Implement process improvements to mitigate risk
Responsible for the day-to-day oversight of our back-office provider including ensuring daily trades are communicated correctly, reconciliations are completed, and variances are resolved timely
Oversee the daily processing of Industry events to the Investment Accounting teams

What we offer

Health, dental, vision and life insurance plans
401(k) Savings plan with generous company matching contributions (up to 6%)
Voya Retirement Plan employer paid cash balance retirement plan (4%)
Tuition reimbursement up to $5,250/year
Paid time off including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day
Paid volunteer time 40 hours per calendar year

Fulltime

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Senior Quantitative Analytics Specialist

Job Description

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