Join to apply for the Senior AI Business Analyst role at EPAM Systems
We’re looking for an experienced AI Business Analyst to play a pivotal role in shaping innovative solutions using generative AI technologies for a major client in the financial services and banking domain.
As a Senior AI Business Engineer, you will act as a strategic bridge between business stakeholders, technical teams and generative AI technologies. By leveraging your expertise in business analysis, financial services and AI-driven solutions, you will identify opportunities, design tailored AI workflows and deliver impactful solutions that address complex business challenges. Your work will directly contribute to innovation and transformation within the banking and financial services sector.
If you are a senior professional with a strong background in business analysis, an understanding of financial services and hands-on expertise in AI, we'd love to hear from you!
Responsibilities
- Partner with business leaders and cross-functional teams to understand and analyze key business objectives, challenges and requirements
- Identify opportunities for leveraging generative AI solutions (e.g. LLMs, GPT-based tools) to optimize business operations and solve pain points in financial and banking contexts (e.g. customer service, fraud detection, personalization, compliance)
- Develop detailed requirements, use cases and process flows to translate business needs into actionable AI solution designs
- Act as a trusted advisor to both clients and internal teams, providing thought leadership and strategic guidance on how to apply AI in financial services
- Collaborate with data scientists, developers and architects to ensure AI-based solutions are delivered on time, align with business goals and comply with regulatory standards in financial services
- Drive organizational adoption of generative AI technologies by leading change management initiatives, designing training materials and ensuring seamless implementation in day-to-day operations
- Establish KPIs and track the impact of AI-driven solutions on client business outcomes
- Continuously refine solutions based on stakeholder feedback
Requirements
Bachelor's degree in computer science, software development or a related field8+ years of experience in business analysis, solution development or consulting for IT or financial servicesStrong domain knowledge of banking and financial services processes, challenges and regulatory environmentsProven experience delivering AI-based solutions, particularly focused on generative AI (e.g. LLMs, GPT-based applications)Ability to translate business needs into actionable technology solutions and collaborate effectively with technical teamsDeep understanding of AI opportunities and challenges in financial services such as compliance, risk mitigation and operational efficiencyFamiliarity with AI tools, platforms, and approaches (e.g. OpenAI, Hugging Face, AWS AI / ML etc.)Strong communication and stakeholder management skills with a proven ability to influence senior business leadersNice to have
Experience in agile methodologies and project management frameworksCertifications such as CBAP (Certified Business Analysis Professional), PMP or AI / ML-related qualificationsHands-on experience with data modeling, process reengineering or advanced analytics in financial environmentsWe offer
Private healthcare and life insuranceEnd of service gratuityAnnual air travel tickets for expatriatesCorporate Programs including Employee Referral Program with rewardsLearning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much moreAll benefits and perks are subject to certain eligibility requirementsSeniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology, Research, and Business Development
Industries
Software Development and IT Services and IT Consulting
EPAM Systems is an equal opportunities employer and welcomes applications from all qualified candidates.
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