We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. Introduction to the Position MX is on a mission to improve the financial lives of everyone and, for this reason, we’re creating innovative software designed to bring financial freedom to the lives of individuals, families, and communities. Our products help consumers understand and manage their financial data, improve their financial decision-making, and strengthen connections between financial institutions and their customers. We believe that data are central to every important financial action and we’re looking for smart, driven, creative individuals to come build with us! The MX Product team is responsible for building world-class financial tools that leverage our unrivaled data assets. As consumers and institutions interact with these tools, new insights and information are created that can be transformed into even better products. In service to creating the industry's most compelling products, the Operational Analytics Team takes the lead on the company’s most computationally and analytically complex problems. If you’re keen to conduct careful analyses focused on core business problems, operational analysis, and instrumentation in an intellectually engaging environment, you’ll enjoy working at MX as a Product Analyst. As a Product Analyst, you’ll partner with colleagues from the Product and Analytics teams to complete a variety of computational activities, including analyzing c
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Role overview
Job description
- Work across a range of analytical solutions involving implementation, testing, validation, documentation, monitoring, investigations, and reporting.
- Extract, analyze, and validate large datasets from various data sources using tools such as Python, PySpark, SQL, and Hadoop to support analytics implementations and operational activities. Perform model scoring, result validation, impact analysis, score investigations, and periodic model monitoring to ensure accuracy and operational stability.
- Develop and support automation solutions, AI-driven tools, and operational efficiency initiatives to streamline analytical processes and reduce manual effort.
- Utilize custom-built frameworks and platforms for analytics implementations, validations, monitoring, reporting, and delivery activities.
- Support MLOps/LLMOps processes for deployment, monitoring, observability, validation, and governance of AI/ML solutions.
- Create and maintain technical documentation, implementation artifacts, operational procedures, and knowledge repositories.
- 3 to 6 years of relevant experience in Data Analytics / Data Science roles.
- Strong programming skills in Python, PySpark, and SQL to manipulate data and develop production-ready solutions.
- Knowledge of LLM tools, GenAI concepts, and modern AI techniques.
- Sound knowledge and exposure to the application of Statistical and Machine Learning techniques.
- Familiarity with AI/ML model monitoring, observability, automation frameworks, and GenAI applications.
- Exposure to workflow orchestration, process automation, or AI-driven operational efficiency solutions will be an added advantage.
- Exposure to LLM agents/tools and certifications in GenAI will be an added advantage.
- Ability to interpret and translate data into meaningful business insights.
- Excellent verbal, written, communication, and presentation skills.
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What they are looking for
Skills & requirements
Qualification
Key Skills: 3 to 6 years of relevant experience in Data Analytics / Data Science roles; Knowledge of LLM tools, GenAI concepts, and modern AI techniques; Exposure to LLM agents/tools and certifications in GenAI will be an added advantage
Department · Data & Analytics
Hiring company
Dun & Bradstreet India
Verified business data and persistent identity help you reduce risk, improve decisions, and drive growth across your organization.
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