Business Analyst, Data & Analytics

Job Description

• The successful candidate will be part of the Data and Analytics squad within Global Credit Markets and Equity Technology and Digital Solutions team, part of the wider FM technology organization. We support Corporate Finance, Equities and Credit Trading business lines.
• We are a business-first team with diverse skillset across trading, coverage, risk, product management and technology, who work with frontline, risk, MO and ops SMEs to build tech solutions to business problems and are ably supported by BAs, developers and QA from our squads.
• The role holder will be expected to work flexibly across three areas of focus, and apply cross-learning effectively:
• Market and Reference data, Pricing, Risk (trading and banking book)
• MI and Analytics (incl. predictive analytics, ML solutions)
• Candidate background - The candidate must have at least 5 years of experience
• With banks or product companies with strong business analysis skills
• Working on solution delivery either supporting business directly, or as a part of wider system rollouts
• Relevant experiences in financial markets or corporate finance technology covering
• Business analysis in an agile setting
• Gathering requirements and writing clear functional specifications / stories and getting them delivered
• Delivering interface analysis and data modelling
• Translating requirements / business problems into a clear set of technical specifications forming a solution. Maintain JIRA backlog, establish traceability to business vision and objectives, act as SME for users
• Obtain stakeholder buy-in and sign-off on business requirements
• Adhere to change management standards & procedures, including documenting and capturing all artefacts (Requirements, FSDs, Data Dictionaries, Sign-offs, Minutes of meetings) required by project governance
• Managing and removing impediments and providing pro-active day-to-day support to users across key owned / supported systems / interfaces
• Ability to work under ambiguous business environments to provide clarity and facilitate discussions to reach consensus/business decisions
• Good problem-solving capabilities and execution
• Ability to drive continuous improvement
• Strong scope and accountability management
• Strong regular communication highlighting impediments and requesting help where required / reporting to management on progress
• Good understanding of Loans products front-to-back
• Good knowledge of Financial Market processes (Trade processing, Life cycling, Risk, back office, etc ).
Functional skills
• Strong corporate loan products knowledge on origination, structuring, lifecycling: term loans, RCF, bridge loans. Experience with specialized finance products (LAF, PEF, Shipping finance, Aviation finance) highly desired.
• Familiar with corporate lending lifecycle, documentation (credit agreements, spreads, scorecards, covenants)
• Knowledge of SCB reference and static data stores like SCI, PCT2 highly desirable
• Risk (banking and trading books) and Data (Reference, Market, Trade) Analytics expertise. This includes pricing, sensitivity computation for credit products like bonds, CDS, loans, VaR, SVaR and stress loss computation, ability to read, interpret and model term sheets and Credit agreements
• In-depth understanding of data models (incl FpML) for corporate loans, bonds
• Must have: ESG and climate risk: Assessment/identification of ESG loans and bonds, ESG and climate risk rating data for loans and bonds, data for assessment of adherence to Poseidon principles
Technology skills
• Strong data munging skills including SQL, Python and GuI tools (eg. Dremio)
• Ability to quickly learn new tools/systems (risk, transaction booking systems) and understanding technology and functional designs
• Extensive experience with loan and collateral systems across the lifecycle, linkages, terminologies: Origination, servicing, monitoring and risk management, trading, reporting
• Extensive experience with market and traded credit risk systems and concepts
• Experience with integrating and using vendor data sources: market data, reference data incl. ratings, event data (news, legal filings), risk indicators
• Strong knowledge of data modelling, interface design
• Strong knowledge on basic BA toolkit: Excel, Powerpoint, Visio, JIRA, Confluence
• Up-to-date on latest app development paradigms: microservices, containerization, APIs
• Basic development capabilities (python e.g.) to read code, build ad-hoc, enhance tactical tools.
Soft skills
• Fluent in English (speaking and writing)
• Strong interpersonal skills; good team spirit. Able to influence to drive work using informal pathways.
• Strong communication and presentation skills; able to tailor messages for highest impact depending on audience (technical vs business) and seniority
• Proactive, self-starter, autonomous; able to independently drive analysis, design, development, delivery in greenfield areas.
• Self-motivated, multi-tasking, with strong analytical and problem-solving skills, solution oriented with proven results
• Curious; willing to dive into the details and understand concepts, graph relationships, interdependencies effectively, but also judicious on time spent vs materiality/benefit
• Business mindset; able to triage asks, justify priority based on cost/benefit, and demonstrate value using defined metrics. Continuous tracking of KPIs.
• Meticulous on documentation; maintains clear JIRA backlog, detailed Confluence pages, artefacts on any solutions built.
Diversity & Inclusion
• Standard Chartered is committed to diversity and inclusion. We believe that a work environment which embraces diversity will enable us to get the best out of the broadest spectrum of people to sustain strong business performance and competitive advantage. By building an inclusive culture, each employee can develop a sense of belonging, and have the opportunity to maximize their personal potential.
Our Ideal Candidate
• Degree (masters or MBA equivalent) in finance, statistics or a STEM discipline (must have)
• FRM or PRM (highly desirable), CQF (big plus)
• Agile certifications like CSPO (good to have)
• PMI certified PMP or PMI-PBA (good to have)
• SCB CCC (core credit curriculum) (good to have)
• ESG certifications from CFA Institute or GARP (big plus)
ROLE SPECIFIC TECHNICAL COMPETENCIES
• SQL
• Python
• Excel, Powerpoint
• Visio
• JIRA
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Keyskills :
credit riskmarket dataterm sheetsstatic datarisk systemsdata modelingback office