Sr. Business Analyst (Credit Risk)

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking an experienced Senior Business Analyst with specialized expertise in Credit Risk within the Investment Banking sector. The successful candidate will have a strong background in credit risk analysis, data spreading, and risk data management. Recent experience with AI and GanAI projects is highly desirable. This role involves working with diverse stakeholders, developing detailed requirements, and supporting testing activities to enhance credit risk frameworks and systems. 

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $140k - $160k/year & benefits (see below).

The Role

Responsibilities:

• Lead the development of feature lists, detailed business requirements, and technical specifications for credit risk initiatives. 
• Collaborate with stakeholders to understand business needs and translate them into comprehensive documentation. 
• Support the testing lifecycle, including UAT and system testing, ensuring requirements are met. 
• Contribute to AI/GanAI-based projects to leverage emerging technologies in risk analysis and data management. 
• Work effectively with remote teams in India, ensuring clear communication and project alignment. 
• Present project progress, findings, and technical insights to senior management and risk teams. 
• Maintain compliance with regulatory standards and internal credit risk policies. 

Requirements:

• 10+ years of experience in Credit Risk, with a focus on risk analysis, data spreading, and related topics within a large Investment Bank or risk data providers. 
• 5+ years of hands-on experience in credit risk processes and data management. 
• Proven experience in requirements gathering, development, and testing. 
• Recent experience working on AI/GanAI projects (minimum 1 year). 
• Strong verbal and written communication skills, with excellent presentation capabilities. 
• Ability to coordinate with remote teams located in India. 
• CFA or FRM certification is preferred. 

Preferred, but not required:

• Extensive knowledge of credit risk analysis, regulatory standards, and risk management frameworks. 
• Strong analytical, problem-solving, and organizational skills. 
• Familiarity with risk data, credit spreads, and data-driven decision-making. 
• Experience with requirements management and testing methodologies. 
• Knowledge of AI and GanAI applications in financial risk analysis. 
• Proactive stakeholder management and cross-functional collaboration skills. 

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused o