LexisNexis Risk Solutions is seeking a Senior Software Engineer to join their innovative team. This role sits within their Business Services vertical, where they deliver solutions focused on Anti-Money Laundering, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management.
The position requires a skilled Python Developer with 5-8 years of experience who will be part of a cross-functional development team designing and developing backend systems and AI-driven solutions. The ideal candidate will have strong expertise in Python frameworks (Django, Flask, or FastAPI), along with working knowledge of AI and machine learning technologies. Basic understanding of C# is also valuable as the role interfaces with .NET components.
Key responsibilities include designing and developing scalable applications, writing clean and efficient code, collaborating with cross-functional teams, implementing AI models, developing RESTful APIs, and contributing to architectural decisions. The role also involves mentoring junior developers and ensuring code quality through testing and reviews.
The position offers an opportunity to work with cutting-edge technologies in a company that serves professional and business customers globally. You'll be part of a team that delivers high-quality software solutions while working with modern development practices including containerization, CI/CD, and DevOps methodologies.
LexisNexis Risk Solutions provides essential risk assessment services to businesses worldwide, making this an excellent opportunity for a senior developer looking to make an impact in the financial technology sector. The company is committed to providing fair and accessible hiring processes and maintains a strong focus on diversity and inclusion.
The role is based across multiple locations in India (Mumbai, Chennai, or Gurgaon), offering the chance to work with global teams and contribute to solutions that help businesses drive revenue growth, maximize operational efficiencies, and improve customer experience.