Business Analyst, Trading Risk up to $8K (MNC/ BANK) - Toa Payoh

MNC/ BANK

• Adecco is partnering with a leading bank to look for a Business Analyst, Trading Risk
• 12 months contract
• This is a business analyst role within Trading Risk domain with primary responsibilities including understanding, assessing, and implementing the changing risk management needs of the bank's Market and ALM risk.

This role provides a balanced mixture of quantitative and qualitative exposures, with a blend of business analysis, data analysis and data visualization tasks.

• Undertake the business analyst role for Market and ALM Risk Domain.
• Gather, analyse and collate users' requirements coming from business and risk stakeholders and produce the clear and detailed specifications for subsequent implementation in Market & ALM risk systems and central data store.
• Evaluate and assess impact of business requirements to existing systems and applications to ensure sound and adequate functional designs
• Devise comprehensive test plans (including test scenarios and test cases) to validate system deliverables.
• Conduct and manage User Acceptance Testing, Regression Testing, Simulation Testing and Live verifications to ensure system deliverables meet business requirements.
• Plan relevant activities according to given timeline, ensuring timely deliveries to maximise business values for stakeholders.
• Work with digital and business intelligence teams to drive data model and data pipeline review, design and development for reporting and various digital initiatives within Market and ALM Risk domain.

• Degree in Banking/ Financial Engineering/ Computer Science/ Quantitative Finance discipline.
• At least 3 to 8 years of relevant working experience as a business analyst, working alongside business users and technology teams throughout stages of system implementations.
• Possess understanding and working experience in Market and/ or ALM Risk domain and able to demonstrate understanding of relevant frameworks such as FRTB, VaR, Sensitivity, LCR, NSFR, IRRBB, MCO risk measures.
• Prior experience in implementing innovative digital/ Artificial-Intelligence solutions is an advantage.
• Team player with strong inter-personal, communication, presentation, analytical and problem-solving skills.
• Proficient in SQL, Microsoft Excel and preferably has working experience in data visualization tools (e.g. Qlik/ Tableau/ PowerBI).

• Interested applicants may send your resume to [email protected] with the header 'Business Analyst'
• Please note that only shortlisted applicants will be informed.

Kareen Frances Chua

Personnel Registration Number: R1438917