Gen Digital

About GenGen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen. <div> </div>About the RoleWe are looking for a Data Scientist to develop data solutions that will enable us to assist critical day to day business decisions.As a Data Scientist in the Decision Science role, you will have the opportunity to apply analytics, experimentation and machine learning algorithms to support and enhance MoneyLion’s products with data driven decisions.You will be embedded within the product teams and deliver tangible business value by deploying or refining solutions ranging from fraud and credit underwriting to user experience optimisations, providing convincing evidence of their effectiveness. This entails designing, developing, validating, deploying and monitoring the outcome of experiments using (and refining) business objectives that will ultimately increase revenue and reduce business costs. You will partner with Product, Data Engineers and Machine Learning teams, exploring and utilizing the frontier of innovation, in order to augment analytics with AI, rapidly iterate with configurable experiments, monitor and evaluate key developments, and understand business needs intimately to help develop valuable AI solutions.<div> </div>About MoneyLionMoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action. In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.<div> </div>Key Responsibilities<ul><li>Perform analyses to understand how our users interact with our products and how to improve our products</li><li>Communicate findings to stakeholders in a clear and concise manner</li><li>Identify anomalies and investigate the root causes of anomalies</li><li>Design and build experiments to solve challenging data and business problems</li><li>Collaborate with product owners to discover new insights and understanding of business performance based on data</li><li>Identify trends and opportunities from the data and influence product roadmaps</li><li>Develop dashboards to track relevant metrics</li><li>Recommend ways to measure success</li><li>Work with engineers to improve the data collection process</li><li>Ensure data-driven decision making within the organization</li><li>Apply, develop or refine AI algorithms to deliver business value</li></ul><div> </div>About You<ul><li>Strong mathematical, statistical or actuarial background</li><li>Must have hands on experience in machine learning, predictive analytics and statistical modeling</li><li>Proficiency with A/B testing and experimentation framework is preferred</li><li>Adept at problem solving using both textbook methods and novel viewpoints</li><li>Proficient in programming languages such as Python and SQL</li><li>Knowledge of data structures, data modeling, software architecture and machine learning algorithms will be an advantage</li><li>Demonstrably experienced with data visualization</li><li>Demonstrably excellent verbal and written communication skills</li></ul><div> </div>What's Next... After you submit your application, you can expect the following steps in the recruitment process:<ul><li>Online Technical Test</li><li>Take-Home Assessment</li><li>Interview &amp; Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)</li><li>Bar Raiser Interview (Where Needed)</li></ul> Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.

Data Scientist (Decision Science)

<h3>About Gen:</h3>Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.If this sounds like you, we’d love you to be part of Gen.<h3>Role Overview</h3>The Marketing Analyst – Network Optimization will use data and experimentation to uncover what drives marketplace performance, turning analysis into clear, actionable recommendations that shape the strategy, execution, and continuous improvement of tests. This role sits at the intersection of marketing analytics, data science, product, and commercial strategy.The ideal candidate is comfortable working in a fast-paced environment, moving quickly from questions to analysis to action. At the core of the role: translating business questions into testable hypotheses, designing sound experiments, monitoring live tests, and delivering clear, data-driven readouts that inform optimization decisions — supported by day-to-day management of the test agenda.Key ResponsibilitiesMarketplace and Marketing Analytics<ul><li>Conduct exploratory analysis to understand changes in customer behavior, traffic quality, offer engagement, and downstream outcomes.</li></ul><ul><li>Monitor marketplace and funnel performance to identify optimization opportunities across customer experience, offer display, partner performance, and monetization.</li></ul><ul><li>Support opportunity sizing and business-case development for proposed optimization initiatives.</li></ul><ul><li>Partner with analytics and data science teams to improve measurement quality, data reliability, and experimentation velocity.</li></ul><ul><li>Help develop repeatable processes for rapid testing, post-test analysis, and continuous optimization.</li></ul>Test Design and Execution<ul><li>Support the development and maintenance of a prioritized test-and-learn agenda across network optimization, offer display, ranking, curation, pricing, eligibility, and related marketplace levers.</li></ul><ul><li>Translate business opportunities and performance signals into clear hypotheses, test objectives, target populations, success metrics, and guardrail metrics.</li></ul><ul><li>Help design A/B, holdout, multivariate, and other controlled experiments in partnership with Product, Engineering, Data Science, and business stakeholders.</li></ul><ul><li>Coordinate test setup, launch readiness, audience splits, documentation, timelines, and stakeholder communication.</li></ul><ul><li>Track execution from initial idea through implementation, launch, monitoring, analysis, and final recommendation.</li></ul><ul><li>Work quickly and pragmatically while maintaining analytical rigor and attention to detail.</li></ul>Test Readouts and Reporting<ul><li>Monitor live experiments and summarize performance across key funnel and marketplace metrics.</li></ul><ul><li>Produce concise, decision-oriented test readouts covering methodology, results, limitations, learnings, and recommended next steps.</li></ul><ul><li>Analyze metrics such as impressions, click-through rate, conversion, click-to-funded rate, revenue, revenue per lead, revenue per click, and partner or network efficiency.</li></ul><ul><li>Identify meaningful changes, anomalies, and emerging opportunities that require investigation or follow-up testing.</li></ul><ul><li>Build and maintain recurring reports, dashboards, and scorecards for the test pipeline, experiment status, and business impact.</li></ul><ul><li>Communicate findings clearly to technical and non-technical audiences, including marketing, product, finance, operations, and leadership.</li></ul>Test Agenda and Stakeholder Management<ul><li>Maintain a current view of the test pipeline, including proposed, approved, in-flight, completed, and follow-up experiments.</li></ul><ul><li>Manage meeting materials, action items, owners, dependencies, decisions, and timelines for the test agenda.</li></ul><ul><li>Help prioritize experiments based on expected impact, confidence, reach, effort, strategic importance, and learning value.</li></ul><ul><li>Coordinate with partner teams to resolve blockers and keep experiments moving toward launch and readout.</li></ul><ul><li>Maintain consistent standards for experiment documentation, naming, tracking, and knowledge sharing.</li></ul><ul><li>Capture and distribute learnings so that successful approaches can be scaled and unsuccessful approaches can inform future tests.</li></ul>Required Qualifications<ul><li>Bachelor’s degree in marketing analytics, statistics, economics, business, mathematics, computer science, or a related quantitative field.</li></ul><ul><li>1–3 years of experience in marketing analytics, product analytics, growth analytics, experimentation, revenue analytics, or a related discipline.</li></ul><ul><li>Experience working with A/B tests, holdout tests, campaign measurement, or other forms of controlled experimentation.</li></ul><ul><li>Working knowledge of experimental design, including hypotheses, control and treatment groups, success metrics, guardrails, and basic power or sample-size concepts.</li></ul><ul><li>Strong analytical skills and proficiency with SQL or Python, Excel, or a comparable data analysis tool.</li></ul><ul><li>Ability to create clear reports, dashboards, presentations, and written test readouts.</li></ul><ul><li>Strong attention to detail and the ability to manage multiple concurrent workstreams.</li></ul><ul><li>Ability to work effectively in a fast-paced, ambiguous, and cross-functional environment.</li></ul><ul><li>Clear written and verbal communication skills.</li></ul>Preferred Qualifications<ul><li>Experience with experimentation or reporting platforms such as GrowthBook, Eppo, Optimizely, VWO, Looker, Tableau, or similar tools.</li></ul><ul><li>Familiarity with marketplace, lending, advertising, e-commerce, lead-generation, or other two-sided platform businesses.</li></ul><ul><li>Exposure to funnel analysis, offer ranking, pricing, partner optimization, customer segmentation, or revenue optimization.</li></ul><ul><li>Experience coordinating cross-functional projects or maintaining a structured test backlog.</li></ul><ul><li>Experience presenting analytical findings and recommendations to business stakeholders.</li></ul>What Success Looks Like<ul><li>Tests are well documented, launched on schedule, and aligned to clearly defined business questions.</li></ul><ul><li>Stakeholders have an accurate, up-to-date view of the test agenda, status, owners, dependencies, and next steps.</li></ul><ul><li>Test readouts are timely, accurate, and easy to understand.</li></ul><ul><li>Reporting helps teams identify performance changes, prioritize opportunities, and make faster decisions.</li></ul><ul><li>Experiment learnings are consistently shared and translated into follow-up actions or scalable optimization opportunities.</li></ul><ul><li>The team increases test velocity while maintaining sound measurement and decision quality.</li></ul>Working Style<ul><li>Moves quickly from insight to action without losing analytical discipline.</li></ul><ul><li>Takes ownership, follows through, and proactively communicates risks or blockers.</li></ul><ul><li>Enjoys learning in a dynamic environment with changing priorities.</li></ul><ul><li>Balances speed, rigor, and practicality.</li></ul><ul><li>Builds strong partnerships across marketing, product, data science, engineering, finance, and operations.</li></ul>

Marketing Analyst - Network Optimization

About Gen:Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.If this sounds like you, we’d love you to be part of Gen.About the Role:The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!We are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.Key Responsibilities:<ul><li>Able to frame and contextualize machine learning problems</li></ul><ul><li>Research, build and design machine learning systems and models that can solve business problems</li></ul><ul><li>Assess, understand and analyse data to select appropriate datasets for data modelling and testing</li></ul><ul><li>Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products</li></ul><ul><li>Design, execute and monitor machine learning model experiments and metrics</li></ul><ul><li>Perform statistical analysis to evaluate and prove business impact of modelling improvements </li></ul><ul><li>Automate, architect and orchestrate machine learning processes and pipelines</li></ul><ul><li>Monitor, optimise and maintain machine learning solutions in production</li></ul><ul><li>Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion</li></ul><ul><li>Work with MLOps Engineers and Data Scientists to improve systems designs and architectures</li></ul><ul><li>Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems</li></ul><ul><li>Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle</li></ul>About you:<ul><li>Strong mathematical, statistical or actuarial background</li></ul><ul><li>Good programming knowledge and software engineering skills</li></ul><ul><li>Must have hands on experience in machine learning, predictive analytics and statistical modelling</li></ul><ul><li>Experience developing and deploying machine learning models in production.</li></ul><ul><li>Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints</li></ul><ul><li>Proficient in Python and SQL</li></ul><ul><li>Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM</li></ul><ul><li>Preferably have experience in building machine learning systems and workflows</li></ul><ul><li>Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML</li></ul><ul><li>Preferably familiar and have experience with AWS, Docker, Kubernetes.</li></ul><ul><li>Solid communication and collaboration skills.</li></ul>What’s next:<ul><li>TA Call (15 min)</li></ul><ul><li>Take-Home Assessment</li></ul><ul><li>Interview &amp; Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)</li></ul>__________Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.

Machine Learning Engineer

About GenGen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen. About the RoleWe are seeking an exceptional Staff Data Engineer to join our team as a senior technical leader responsible for architecting and implementing enterprise-scale data solutions that directly impact our cybersecurity platform's strategic objectives. This role combines deep technical expertise with significant organizational influence, requiring someone who can design complex data architectures, mentor engineering teams, and drive the technical vision for our multi-petabyte data infrastructure serving millions of users.Key Responsibilities<ul><li>Expertise with Apache Kafka, real-time data processing, and event-driven architectures</li><li>Experience with Apache Iceberg, data lakehouse architectures, and modern table formats</li><li>Demonstrated expertise in cloud cost optimization and data warehouse performance tuning</li><li>Design and architect enterprise-scale data solutions that directly impact Gen's data strategy execution. This might be something like designing and implementing an incremental identity graph, integrating a marketing attribution vendor or automating LTV calculation.</li><li>Lead evaluation and implementation of cutting-edge technologies including modern data stack and advanced analytics</li><li>Collaborate with executives and senior leadership to align data architecture with business strategy</li><li>Mentor IC9 and IC10 engineers, focusing on architectural decision-making and advanced technical skills</li><li>Drive complex, multi-quarter technical initiatives requiring coordination across multiple engineering teams</li></ul>About You<ul><li>Bachelor's degree in computer science, Data Engineering, or related technical field (master's degree preferred)</li><li>Minimum 10-15 years of hands-on data engineering experience in large-scale, high-volume environments</li><li>Expert-level proficiency in SQL optimization for multi-petabyte datasets and advanced Python programming</li><li>Extensive experience with Snowflake architecture, optimization, and cost management at enterprise scale</li><li>Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures</li><li>Advanced experience with AWS cloud infrastructure and either DBT or SQLMesh for data transformations</li><li>Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks ensuring GDPR/PCI-DSS compliance</li><li>Proven ability to architect and own multiple entire areas of the codebase or services independently</li><li>Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics. We know its new, but some familiarity is a plus.</li><li>Proven track record with subscription business models including cohort analysis, LTV calculations, and marketing attribution</li><li>Direct industry experience in cybersecurity, ad-tech, or high-volume data processing environments (billions of events per day)</li><li>This position requires a unique combination of deep technical expertise, strategic thinking, and leadership capabilities. The successful candidate will be a recognized expert in their domains within the broader data engineering community and capable of driving significant technical and business impact at enterprise scale.</li></ul>What's Next<ul><li>TA Call</li><li>Technical Screening Focused on Python and SQL</li><li>Technical Screening Focused on Snowflake and dbt</li><li>Final Interview - Whiteboarding Design Round __________Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.</li></ul>

Staff Data Engineer

We are looking for a hands-on, results-oriented, and intellectually curious Senior Data Analyst to join our Product Analytics team.Our mission is to uncover actionable insights about our customers and use them to create data products, analytical solutions, and self-service capabilities that improve our products, customer experience, and business performance.In this role, you will contribute across the end-to-end data lifecycle, including data acquisition, processing, analysis, and delivery. You will work with data from tens of millions of users and billions of data points, helping advance our analytical capabilities through scalable solutions, predictive analytics, experimentation, and automation.Example initiatives include lifetime value (LTV) prediction, early-warning signals for product performance, advanced statistical analysis of A/B tests, and automated monitoring solutions.<h2>What You’ll Do</h2><ul><li>Develop a deep understanding of our products, customers, and business context.</li><li>Own analytics delivery end to end: understand business needs, design appropriate analytical solutions, define requirements, and collaborate with engineering teams through implementation.</li><li>Provide insights that support strategic and operational decisions through ad hoc analysis, A/B test evaluation, business monitoring, trend prediction, user segmentation, and early-signal analysis.</li><li>Build scalable and automated solutions that shorten time to insight and enable stakeholders to work more independently.</li><li>Develop SQL-based ETL processes, Microsoft Excel analyses, and Power BI dashboards and reporting solutions.</li><li>Apply AI tools and agents effectively to improve analysis, automation, and productivity.</li><li>Partner closely with Business Intelligence, Engineering, Product Management, and other teams across the company.</li><li>Contribute to the development and implementation of the Product Analytics team’s data strategy.</li></ul><h2>What You’ll Bring</h2><ul><li>At least three years of professional experience in an analytics role.</li><li>Strong analytical, decision-making, and problem-solving skills, with a high level of accuracy and attention to detail.</li><li>Strategic thinking and a track record of building scalable analytics solutions that save time and accelerate time to insight.</li><li>Experience translating business and analytical requirements into technical specifications and driving their implementation with engineering teams.</li><li>Excellent written and verbal communication skills, with the ability to translate complex data and analysis into clear, actionable insights for business stakeholders.</li><li>Working proficiency in SQL.</li><li>Experience providing analytics for software products in close collaboration with software developers.</li><li>The ability to understand and work with source code, preferably in languages such as Python or C++.</li><li>Experience with Power BI or Tableau, and the ability and willingness to learn new tools quickly.</li><li>Working knowledge of statistics and its application to business and product analysis.</li></ul><h2>Nice to Have</h2><ul><li>Experience building AI agents or using AI to generate insights and improve analytical workflows.</li><li>Experience with predictive analytics, experimentation frameworks, user segmentation, or early-signal detection.</li><li>Experience working with large-scale user and product datasets.</li></ul>

Gen Digital

Open jobs at Gen Digital

Data Scientist (Decision Science)

Marketing Analyst - Network Optimization

Machine Learning Engineer

Staff Data Engineer

Senior Data Analyst

Working for Gen Digital?

Featured companies