Job
Description
We are looking for a skilled FS Risk Technology Analyst with 4 to 7 years of experience in an IT-Business Analyst role, specifically in Wholesale Credit Lending. The ideal candidate will have domain knowledge of finance regulatory audit resolution and process re-design. ### Roles and Responsibility Collaborate with cross-functional teams to identify and mitigate risks in wholesale credit lending. Develop and implement risk management strategies to ensure compliance with regulatory requirements. Analyze complex data sets to identify trends and patterns, providing insights to stakeholders. Design and develop business requirement documents (BRD) and functional requirement documents (FRD). Work closely with technology teams to ensure seamless implementation of risk management solutions. Identify and document controls and governance processes to ensure regulatory compliance.### Job Requirements Strong understanding of core credit risk metrics, including PD, LGD, and EAD. Experience with Basel Capital Rules and regulatory reporting requirements such as CCAR. Proficient in SQL at an intermediate to advanced level, capable of handling complex data sets or APIs. Excellent analytical skills, with the ability to analyze large datasets and identify key trends. Strong communication skills, with the ability to convey complex information to non-technical stakeholders. Ability to build strong relationships with cross-functional teams across the organization. Domain knowledge of Wholesale Credit Lending: Knowledge of the Wholesale Credit Lending lifecycle, including finance regulatory audit resolution and process re-design. Awareness of relevant laws and regulations impacting the wholesale credit business. Good understanding of one or more of the following domains: Credit Risk Market Risk Liquidity Risk Interest Rate Risk Regulatory Retail Portfolio (RRP) Enterprise Data and Tech Experience with Basel Capital Rules is preferred. Experience with processes relating to regulatory reporting requirements such as Comprehensive Capital Analysis and Review (CCAR), Single Counterparty Credit Limits (SCCL). Experience and technical understanding of product knowledge across all asset classes. Experience supporting large initiatives across multiple functional groups. Experience working in a highly regulated environment and identifying, performing, and documenting controls and governance processes. Strong analytical skills, proficient in SQL at an intermediate to advanced level, and capable of handling complex data sets or APIs. Proficient in writing detailed business cases, Functional Requirement Documents (FRD), Business Requirement Documents (BRD), and Data flow diagrams for various business processes. Well-versed and experienced in SDLC, using both waterfall and Agile methodologies (such as Scrum, Kanban, SAFe, etc.) for delivering projects. Must be willing to lean and align with the evolving technology trends in the industry. Proven ability to manage multiple activities and build/develop working relationships. Proven self-motivation to take initiative and master new tasks quickly. Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail. Should have very good communication skills and interpersonal skills. Communication Skills Verbal Communication: Ability to clearly convey complex information to non-technical stakeholders. Written Communication: Proficiency in creating clear and concise documentation, reports, and presentations. Presentation Skills: Comfortable presenting findings and recommendations to various audiences. Interpersonal Skills Team Collaboration: Ability to work effectively within cross-functional teams. Negotiation Skills: Competence in negotiating requirements and solutions with stakeholders. Adaptability: Willingness to adjust to changing priorities and business environments. Experience in the following would be an added advantage: Handling large datasets. Strong Excel skills. Data Visualization using Tableau, Power BI, etc. Agile certification. Experience in working on end-to-end data related projects Data sourcing, Data lineage/mapping, Governance, validation and reconciliation
