Kerja Sepenuh Masa, Business Analyst Front Office di Antaes Asia - Maukerja

The Business Analyst will work on pre-trade application used by Sales to pre-book and book Rates deals. Key activities include developing features that facilitate RFQ workflows between Sales and Traders, enabling efficient communication and deal negotiation. The role involves implementing real-time pricing, deal validation logic, and ensuring seamless integration with downstream booking systems. Close collaboration with Sales and Trading stakeholders is essential to enhance the RFQ experience and support the complete deal lifecycle.

MAIN RESPONSIBILITIES

Business Requirement Analysis & Workshop Facilitation

• Organize and facilitate business workshops to collect and analyze requirements

• Collaborate with the Product Owner to prioritize and decompose requirements into detailed user stories

• Draft comprehensive Functional Specification documents with clear acceptance criteria

• Maintain traceability between business needs and technical implementation

Process Analysis & Change Management

• Analyze existing business processes and define optimized target processes

• Identify process gaps and transformation opportunities

• Define change management needs and support organizational adoption

• Ensure alignment between process redesign and business objectives

Application Mapping & Impact Analysis

• Map application flows and dependencies within the PRICE ecosystem

• Assess project impacts on upstream and downstream system integrations

• Coordinate with technical teams to ensure seamless integration

• Maintain documentation of system interfaces and data flows

Stakeholder Collaboration & Communication

• Maintain regular contact with developers to ensure requirements are well understood and correctly implemented

• Act as liaison between business users and technical teams

• Provide L3 functional support for complex issues

• Foster collaboration between business stakeholders, Product Owner, and development team

Testing Strategy & Quality Assurance

• Define comprehensive testing strategy aligned with project scope

• Contribute user scenarios for BDD (Behavior-Driven Development) activities

• Participate actively in integration testing

• Organize and conduct User Acceptance Testing (UAT) sessions

• Assess functional change impacts on current production SLAs and OLAs

Production Deployment & Support

• Participate in production start-up activities and go-live preparation

• Define functional prerequisites for deployment and post-deployment validation

• Deliver user training sessions and create training materials

• Ensure post-production follow-up and provide ongoing functional support

• Monitor production performance and gather user feedback for continuous improvement

QUALIFICATION AND PROFILE

• 4+ years of experience as a Business Analyst in market finance, with specific expertise in Front Office Fixed Income Rates products

Interest Rate Derivatives Expertise

• Good knowledge on Interest Rate Derivatives products (Interest Rate Swaps, Swaptions, Caps/Floors, FRAs, etc.)

• Good knowledge of pre-trade trading workflows and RFQ (Request For Quote) systems capture

• Understanding of pricing models, yield curves, and risk metrics (DV01, duration, convexity)

• Knowledge of Rates market conventions and day count conventions

• Experience with Equity products is a plus

Trading Systems & Platforms

• Knowledge of Front Office/Risk management systems (e.g., Orchestrade)

• Familiarity with the MarkitWire Platform

• Understanding of trading lifecycle from pre-trade through settlement

• Experience with external data sources like Bloomberg and Reuters/Refinitiv

Market Data & Standards

• Relevant experience with FPML (Financial Products Markup Language) format

• Expertise in static market data including reference data, price data, and market conventions

• Knowledge of data types, sources, and uses within financial systems

Technical Proficiency

• Knowledge in Python for analytics and automation

• Proficiency in SQL and Excel for data manipulation and analysis

• Knowledge of DevOps practices (GitOps, Docker, Kubernetes)

• Familiarity with monitoring and alerting tools (Elasticsearch, Kibana)

• Ability to work with complex data structures and perform data quality analysis