Senior Quantitative Analytics Specialist - Machine Learning Job at Wells Fargo (Bengaluru)

Senior Python Lead Securities Quantitative Analytics Specialist

Wells Fargo is seeking a Senior Lead Python Securities Quantitative Analytics Sp...

Location

United States , New York; Charlotte

Salary:

215000.00 - 355000.00 USD / Year

Wells Fargo

Expiration Date

February 14, 2026

Requirements

7+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ 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

Develop and enhance quantitative models to measure key ALM metrics—including Net Interest Income (NII), interest rate risk, liquidity risk, and related enterprise risk indicators
Perform forecasting and margin analysis, generating insights on net interest margin (NIM) dynamics across scenarios, portfolios, and economic environments
Integrate pricing and risk analytics by collaborating closely with partner quant teams to ensure ALM models incorporate consistent assumptions, methodologies, and valuation frameworks
Implement production‑ready models within an industrial‑strength analytics library, ensuring robustness, scalability, and adherence to development and governance standards
Partner effectively with business stakeholders, quantitative teams, technology groups, and project managers to ensure successful deployment and ongoing support of ALM models in production environments
Continuously assess and improve model development processes, identifying opportunities for efficiency, transparency, and methodological enhancements
Serve as an expert advisor to senior leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs across the Investment Portfolio
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

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

Senior Credit Portfolio Risk Manager

Senior management-level position leading credit risk function for unsecured lend...

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

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

Senior Manager, Quantitative Analysis - Model Risk

Senior Manager, Quantitative Analyst within the Model Risk Office, you will be p...

Location

United States , McLean

Salary:

229900.00 - 262400.00 USD / Year

Capital One

Expiration Date

Until further notice

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

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

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

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

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

Head of Risk QA Software Architecture

Design, deliver, and govern QA software and technology solutions that align with...

Location

Czechia , Prague

Salary:

Not provided

Barclays

Expiration Date

Until further notice

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

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

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

Senior Solution Architect AI & HPC

AI is a high-growth market for HPE, and we believe we are uniquely suited to bri...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

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

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

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Senior Data Scientist

As a Data Scientist within Jellyfish’s Cloud and Martech practice, you will help...

Location

Mexico , Mexico City

Salary:

Not provided

Jellyfish

Expiration Date

Until further notice

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

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

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

Senior Quantitative Analytics Specialist - Machine Learning

Wells Fargo

Location:
India , Bengaluru

Category:
Finance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 13, 2026

Expiration:
February 26, 2026

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