Quantitative Analytics Specialist Job at Wells Fargo (Bengaluru)

Counterparty Risk Portfolio Analytics and Models specialist

The Counterparty Credit Risk Portfolio Analytics and Models specialist is a seni...

Location

Poland , Warsaw

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience
working experience in a quantitative field, Financial/Banking industry preferred
strong quantitative skills, particularly with respect to counterparty credit risk measures and calculations
deep modeling expertise and experience with analytic techniques and tools
excellent analytical thinking, practical problem solving abilities, and partnership skills
expertise in R, Python, H2O, and SAS
willing to learn and can-do attitude

Job Responsibility

Lead the optimization of the key counterparty risk and liquidity metrics used to monitor the risk appetite and risk capacity of the business against limits
accuracy and completeness of Credit Data: ensure that data captured in our counterparty credit infrastructure are in line with the approvals and conform to best in class standards
on-going monitoring and portfolio risk drivers identification processes: deliver timely, high-quality analysis of existing portfolio exposures including pockets of client trades and or/collateral concentrations
support the integration of the risk management processes for Wealth Management exposures and portfolios into the ICM operating model
ensure timely tracking and escalations around exposure and losses monitoring
partner with the CCR Models’ Sponsors and relevant Risk teams for the aspect of the Model Risk Governance related to changes, processes and procedures
establish relationships with a network of key stakeholders, partnering with senior colleagues in the Business as well as with risk management, technology, reporting and operations teams to drive implementation of strategic initiatives

Fulltime

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

Principal Data Scientist - AI Foundations, Specialist Models

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean; San Jose; New York

Salary:

161800.00 - 201400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 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 3 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)

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to build a next-generation entity resolution solution
Leverage a broad stack of technologies — Python, AWS, Spark, modern state of the art models like transformers, graph ML, and more
Build machine learning models through all phases of development
Leverage Agentic AI tools and workflows to build and test
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

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

Hr operations specialist

Responsible for the design, implementation and maintenance of human resources ad...

Location

Poland , Wroclaw

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First-level university degree or equivalent experience
Typically 2-4 years related experience in compensation, benefits, finance, and/or human resources
Language proficiency in French or/and Spanish
Developed level of process knowledge and expertise in back-end processes
Developed general HR knowledge
Excellent communications skills
Strong quantitative and qualitative analysis skills
Strong organizational, time management, and planning skills
Strong customer orientation
Developed ability to use HR productivity tools, systems and applications

Job Responsibility

Implement and manage multiple parts of process delivery with team guidance and instructions
Identify areas for process improvements
provide country-specific subject matter expertise and solutions
Provide analytical support and analysis for priority projects that impact employees at the country level and may lead projects of low complexity
Resolve HR support cases of moderate to high complexity that cannot be answered immediately through service centers
Assist with increasingly complex reporting needs and analyze survey, employee, and financial data, and audit results.

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Career development programs
Inclusive workplace culture.

Fulltime

Quant Sales Specialist

Energy Aspects currently has a fantastic opportunity for a driven and ambitious ...

Location

United States , Houston

Salary:

Not provided

Energy Aspects

Expiration Date

Until further notice

Requirements

Minimum of 4 years’ work experience in sales, preferably within quantitative analytics, data, SaaS, or fintech sectors
Proven track record of achieving and exceeding sales targets when selling to hedge funds/ commodity traders
Strong understanding of the energy, commodities, or financial markets, with an appreciation for quantitative and data-driven solutions
Comfortable discussing quantitative concepts such as time series, backtesting, model performance
Excellent communication, negotiation, and presentation skills, with the ability to engage both technical and non-technical stakeholders
Ability to build and maintain strong client relationships at all organisational levels
Self-motivated, results-oriented, and able to work independently
Bachelor’s degree preferred

Job Responsibility

Be the commercial owner for EA Quant analytics and Data solutions in Americas, including: Quantitative analytics & predictive outputs, Structured datasets / data feeds, Dashboards, written research and API
Identify, target, and secure new business opportunities across the Americas, with a focus on quantitative analytics and enterprise data solutions
Manage and expand relationships with existing clients, ensuring high levels of satisfaction, retention, and upsell opportunities
Develop a deep understanding of Energy Aspects’ Quant Analytics and Enterprise Data products, and effectively communicate their value proposition to quantitative, trading, and enterprise clients
Collaborate with internal teams (product, research, data science, marketing) to tailor solutions to client needs and provide feedback for product development
Negotiate and close enterprise-level sales contracts for data and analytics solutions
Maintain up-to-date knowledge of market trends, competitor offerings, and evolving client requirements in the Americas
Represent Energy Aspects at industry events, conferences, and client meetings across the region
Occasional travel within the Americas as required (approximately 2-3 times per quarter)

What we offer

Competitive compensation package that includes performance related incentives
Comprehensive private health insurance
Substantial pension contributions
Company share options
Subsidised gym memberships
Generous holiday policy
Social clubs (running, yoga, football, culinary adventures)
Office amenities (coffee, healthy snacks, social space)

Fulltime

Supply Chain Specialist

This position involves planning, scheduling, and coordinating demand/supply mana...

Location

United States , San Jose

Salary:

60800.00 - 140400.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in Industrial Engineering, Statistics, Mathematics, Supply Chain Management, Management Science, Business Administration, or related field and 2+ years of experience in supply chain/demand planning
Demonstrated understanding of supply chain processes (plan, source, make deliver)
Strong analytical and data modeling skills
Strong written and verbal communication skills
mastery in English and local language
Strong interpersonal skills
Developed Microsoft Office skills (Excel, PowerPoint, etc.) and other analytical aids to help manage the operation
Developing Project Management Skills
Demonstrated business acumen and technical knowledge within area of responsibility
Proficient understanding of the company's overall supply chain strategy

Job Responsibility

Develop an understanding of geographical, product lifecycle, market segment, and time-series based trending attributes for Hewlett Packard Enterprise hardware products
Perform quantitative historical trend analysis on shipments, bookings, and backlog as well as qualitative data evaluation on products, markets, and customers
Apply predictive analytics to support a Demand Plan forecast that accurately anticipates customer needs
Consider multiple inputs – historical analysis, customer specific volume, qualitative information to determine most optimal demand plan
Use data science tools to analysis SKU level forecasts and recommend forecast changes given impact on delivery and inventory metrics
Conduct what-if analyses to mitigate supply chain risks and optimize inventory investment in response to significant demand changes
Support transformational Demand Planning initiatives and business planning systems enhancements
Continuously improve processes, tools, and workflows by proposing changes to demand management and BU teams
Develop and maintain automated reports and dashboards to support business needs, creating data pipelines and workflows to drive efficiency and analyze key metrics
Collaborate with Product Line Management, Sales Operation, Finance, and other Supply Chain Operations groups in the generation of the Demand Plan

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Personal & professional development programs
Inclusive work environment

Fulltime

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

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Quantitative Analytics Specialist

Job Responsibility

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