Senior Data Scientist - Financial Platform Job at Cash App (Bay Area)

Market Risk Data Scientist

The role is for a Market Risk Data Scientist / Python Developer based in London,...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced level of Python proficiency to translate business requirements into best in class solutions for risk monitoring, P&L explanation, market and risks data analysis, stress testing etc., and a strong appetite to widen both markets and products knowledge and expertise
Knowledge of databases and SQL language
Hands-on attitude where attention to detail and smart project planning is important to produce an insightful, high-quality output within a given time-frame
Team‐work mindset to interact and collaborate on daily basis with senior Market Risk colleagues within the Department on short term deliverables, while being able to work with a good degree of independence on the Market Risk Python-based platform
Basic knowledge of interest rate products (Bonds, Swaps, non-linear derivatives)
Previous exposure to Market Risk concepts and techniques (e.g., Scenario Stress Testing, VaR, FRTB etc.) is beneficial but not necessary
Communicate/ interact with other teams both within Market Risk as well as outside (e.g. Trading, First Line of Defence, IT Dept, Quantitative Research, Risk Control)
Excellent written and verbal communication skills
Quantitative skills including applied mathematics and statistics would be a plus.

Job Responsibility

Maintain, improve and further widen the scope of the existing Python-based infrastructure for risks, including daily risks monitoring, P&L attribution analysis, ad-hoc stress testing, Historical VAR estimation on selected portfolios
Work alongside the team in EMEA on the whole set of daily tasks and deliverables, both internally as well as regulatory driven, when needed
Daily limits monitoring, controls and analysis of risks, attestation of risks measures for regulatory purposes, P&L attribution analysis.

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretionary annual performance-related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources.

Fulltime

Data Architect (Data Scientist)

The Data Architect role at NTT DATA requires a hands-on professional with 8-12 y...

Location

India , Gurugram

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8–12 years of overall IT experience
5–8 years of relevant experience in Data Architecture or Senior Data Engineering roles within AWS environments
4+ years of hands-on experience with AWS data services
Proven experience designing and operating data architectures using Amazon S3, AWS Glue, Athena, Amazon SageMaker Studio, Snowflake
Strong programming skills in Python, PySpark, and SQL
Experience integrating and transforming data from multiple data lakes and data warehouses
Solid understanding of financial data modelling, preferably within mortgage or lending use cases
Familiarity with segmentation, classification, and time-series data structures
Proven experience with code management and version control in enterprise environments (GitLab)
Ability to translate complex financial data into actionable, well-structured datasets for analytics and reporting

Job Responsibility

Design, implement, and maintain end-to-end data architectures on AWS, supporting analytical, reporting, and modeling workloads
Define and manage data models, schemas, and transformations for structured and semi-structured financial data
Architect and optimize data ingestion, integration, and processing pipelines using AWS Glue, S3, Athena, and Snowflake
Enable analytics and modeling use cases (segmentation, classification, time-series analysis) through well-curated, high-quality datasets
Collaborate with data scientists, analysts, and business stakeholders to ensure data platforms align with mortgage and financial domain requirements
Implement data governance, version control, and CI/CD best practices, ensuring reliability and auditability in a corporate environment
Ensure data solutions are scalable, secure, and cost-efficient, following AWS best practices
Support data consumption via visualization and downstream applications, including integration with Amazon QuickSight and web-based interfaces where required

New

Head of Enterprise Data & Analytics

The Head of Enterprise Data Management & Analytics is a senior leadership role r...

Location

United States , San Jose

Salary:

219000.00 - 300000.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)
10+ years of experience in data management, analytics, or related roles, with increasing leadership responsibility
Proven experience leading teams of data architects and/or data scientists
Strong expertise in enterprise data architecture, data warehousing, and analytics platforms (cloud-based preferred)
Experience establishing data governance and quality frameworks in a regulated or public company environment
Ability to operate effectively in a fast-paced, high-growth setting
Familiarity with SOX, financial reporting data requirements, and audit support
Hands-on experience with modern data stacks (e.g., cloud data warehouses, BI tools, orchestration frameworks)
Demonstrated success scaling data capabilities alongside rapid business growth
Excellent written and verbal communication skills

Job Responsibility

Define and execute the enterprise data management and analytics strategy aligned with business objectives and growth plans
Serve as the senior leader for enterprise data architecture, data governance & privacy, analytics, and data science capabilities
Establish operating models, standards, and best practices suitable for a growing public company
Build, lead, and mentor a high-performing team of data architects and data scientists
Own the enterprise data architecture, including data models, integration patterns, and analytics platforms
Ensure scalable, secure, and reliable data pipelines across internal and external data sources
Partner with engineering and IT teams on cloud data platforms, tooling, and technology roadmaps
Drive simplification and modernization of data systems as the company scales
Establish and oversee enterprise data governance, including data ownership, stewardship, metadata, and lineage
Ensure data quality, consistency, and integrity across enterprise systems

What we offer

Equal-opportunity employer committed to creating a diverse and inclusive workplace
Reasonable accommodations for applicants with physical or mental disabilities, and those with sincerely held religious beliefs

Fulltime

Senior Manager, Marketing Science

The Sr. Manager of Marketing Science drives and executes strategic initiatives t...

Location

United States , Bannockburn

Salary:

137000.00 - 215270.00 USD / Year

BioLife Plasma Services

Expiration Date

Until further notice

Requirements

Bachelor’s and/or master’s degree in any area of social science, business, marketing, advertising, or a closely related field
Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, gathering requirements, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions
7+ years of experience in advanced analytics and statistical modeling in the areas of business performance analysis, forecasting, promotion and media effectiveness and optimization, and consumer behavior
Excellent verbal and written communication and presentation skills. Able to communicate effectively to all levels of the organization, including senior leadership
Bring a growth mindset, curiosity, positivity, intuitive thinking, and a passion for excellence
Extensive experience across many areas of marketing science
MMM, MTA, Loyalty, Website, Surveys, Paid/Owned/Earned Media
Experience with SQL, Python, and R for data analysis and model development
Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.)
classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc.), and other AI/ML techniques

Job Responsibility

Lead marketing science initiatives in the development and execution of advanced analytics to support marketing strategies and goals
Provide thought leadership on marketing measurement techniques, including the trade-offs between controlled experiments, natural experiments, and multivariate statistical models for different situations
Partner with our media agency to ensure we are maximizing the output of our media mix model (MMM) partner
Deep understanding and experience with creating and managing marketing attribution solutions, i.e., multi-touch attribution (MTA). Ability to build/maintain in-house solutions and/or work with outside partners as necessary
Identify and maintain marketing analytics key performance indicators (KPIs) to track and measure performance
Partner with data scientists, IT, and consultants to develop advanced analytical models and dashboards related to marketing
Ability to perform statistical analyses and tests to quantify the business value of an opportunity
Familiarity with AI/ML applications in marketing
Ensure the accurate and timely delivery of marketing performance reports and insights
Able to translate data into contextualized insights that can be shared across the business

What we offer

Medical, dental, vision insurance
401(k) plan and company match
Short-term and long-term disability coverage
Basic life insurance
Tuition reimbursement program
Paid volunteer time off
Company holidays
Well-being benefits
Up to 80 hours of sick time per calendar year
Accrue up to 120 hours of paid vacation (for new hires)

Fulltime

Senior Data Engineer

Senior Data Engineer – AWS – Commodities Trading. Orbis are partnering with a gl...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Extensive experience in a Data Engineering position involving the building and maintenance of data pipelines gained within Financial Services (Investment Banking, Trading, etc.)
Excellent experience with Python, SQL and AWS
Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing

Job Responsibility

Design, build, and optimise data pipelines and market data platforms in Python and AWS for scalable, high-performance analytics
Manage end-to-end data ingestion (ETL), transformation, and quality control, ensuring data accuracy and reliability
Collaborate with traders, quants, and data scientists to translate commercial needs into robust technical data solutions

Fulltime

Senior Product Designer

This is a senior individual contributor role. Our Designers and Researchers coll...

Location

United States , Mountain View

Salary:

193570.00 - 236586.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

4+ years of experience working with product teams to ship consumer products
Skilled collaborator with project planning skills and excellent etiquette around others' ideas
Prolific maker who uses work to explore many possible solutions
Uses proven principles and tools across the end-to-end design process
Excellent thinking and communication skills
Curious and works from customer needs first
Passion for impactful financial technology
Bachelor's degree or equivalent industry experience required

Job Responsibility

Own the end-to-end user experience for one or two product verticals
Work with Product Managers, Engineers, and Data Scientists to bring a great experience to life
Influence EarnIn’s product vision and design strategy
Collaborate with other designers to ensure a consistent experience & design language across our platform
Execute and contribute to our design system and processes

What we offer

equity
benefits

Fulltime

Head of Data

The Head of Data will be responsible for leading and scaling the Data organisati...

Location

Netherlands , Amsterdam

Salary:

Not provided

Bitvavo

Expiration Date

Until further notice

Requirements

10+ years of experience in data-related roles
3+ years in a senior leadership or management position
Proven experience leading and scaling data teams in a startup or high-growth environment
Deep understanding of modern data ecosystems, including: Analytics and BI Data modelling and metrics design Data infrastructure and pipelines
Strong intuition for what “good” looks like in data quality, metrics, and decision support
Ability to engage deeply with technical discussions without needing to be hands-on day-to-day
Strong business mindset, with experience translating business goals into measurable outcomes and KPIs
Experience in FinTech, B2C, exchanges, or financial services environments
Ability to work autonomously and proactively drive strategy and execution
Strong problem-solving and analytical skills, with a bias toward impact

Job Responsibility

Define and execute the company’s data strategy, covering analytics, data modelling, metrics, experimentation, and data infrastructure, aligned with business objectives
Establish clear data principles, standards, and best practices to ensure high data quality, reliability, and usability across the organisation
Drive the evolution of the data platform to support scale, performance, and growing analytical complexity
Lead, grow, and develop a high-performing Data organisation of ~25 people, including Data Engineers, Analytics Engineers, Data Analysts, Scientists, and related roles
Build strong managers and senior ICs, fostering a culture of ownership, accountability, and continuous improvement
Recruit, hire, and onboard top talent as the organisation scales
Own the company’s metrics and KPI framework, ensuring consistent definitions, governance, and alignment across teams
Partner with Product, Engineering, Finance, Risk, Operations, Marketing and Commercial teams to translate business questions into robust analytical solutions
Enable data-informed decision-making at all levels of the organisation, from operational teams to executive leadership
Act as a trusted partner and advisor to senior leaders and department heads

Fulltime

Financial Crimes Data Analytics & Intelligence Lead-Senior Vice President

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Gurugram

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Prior experience in AML domain, Mantas, or any other AML Transaction Monitoring systems will be preferred
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
Model execution and governance experience in any domain will be preferable
Proven track record of building and deploying generative models-based solutions in production environments

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms, design, develop and deploy generative AI based solutions for AML Transaction monitoring
Lead and manage the FCDAI team within AIM, recruit staff, lead professional development and build a high performing team
Act as Strategic Leader: Incumbents would be primarily responsible for supporting Business Execution activities for Independent Compliance Risk Management (ICRM) AML organization, implement analytical solutions
Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring
Lead as SME in the area of ML/AI/Gen AI
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy
Provide thought leadership for all data solutions that include designing, developing, and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations
Communicate complex analytical concepts and results to both technical and non-technical audiences
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines

Fulltime

Senior Data Scientist - Financial Platform

Cash App

Location:
United States , Bay Area

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 26, 2026

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