BFSI (BA/SBA) About Sigmoid: Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world's leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.
Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a 'Leader' in ISG's Specialty Analytics Services for Supply Chain (2024), a two-time 'India Future Unicorn' by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.
An Ideal Person: An ideal person will come with strong domain expertise in Capital Markets to work closely with business stakeholders, technology teams, and data teams to deliver high-impact solutions across trading, risk, and post-trade functions. The role involves translating business needs into functional requirements, supporting data and technology initiatives, and driving transformation programs across global markets businesses.
Responsibilities Include:
• Partner with front-office, middle-office, and operations teams across capital markets (equities, fixed income, derivatives, FX). • Gather, analyze, and document business requirements, workflows, and use cases. • Translate business requirements into functional specifications, user stories, and process flows. • Facilitate workshops, stakeholder interviews, and requirement walkthroughs. • Drive deep insights and analysis, beyond the obvious, to add business value. • Adhere to delivery, quality metrics and internal governance. • Work independently with minimal supervision.
This role will require working on multiple engagements in parallel.
Experience and Qualifications: 5-8 years of experience as a Business Analyst in Capital Markets or Investment Banking.
Strong understanding of one or more asset classes, including:
• Equities • Fixed Income • Derivatives • FX
Good understanding of trade lifecycle and capital markets operations.
Experience with requirement documentation and stakeholder management.
Strong analytical and problem-solving skills.
Proficiency in SQL, Python, and R to any data analysis tools preferred.
Experience working with global stakeholders and cross-functional teams.
Highly analytical with the ability to collate, analyze and present data and drive clear and actionable insights.
Strong problem-solving skills and ability to prioritize conflicting requirements.
Excellent written and verbal communication skills.
Capital Markets Domain Support:
Work on initiatives across:
• Trade lifecycle (order execution clearing settlement) • Risk & PnL reporting • Regulatory reporting (MiFID, EMIR, Dodd-Frank, etc.) • Client onboarding, KYC, collateral, and margin • Market and reference data • Support front-office analytics, trading workflows, and reporting needs
Data & Technology:
Collaborate with data engineering and technology teams on:
• Data mapping, lineage, and reconciliation • Source-to-target mapping • Data quality and validation • Support data-driven initiatives such as dashboards, analytics, and AI/ML use cases • Work with tools such as SQL, Excel, Python (nice to have), JIRA, Confluence
Delivery & Execution:
Create BRDs, FRDs, user stories, and acceptance criteria.
Support UAT planning, test case creation, and defect tracking.
Track project milestones, risks, and dependencies.
Work in Agile/Scrum or hybrid delivery models.
Preferred / Nice to Have:
• Experience with market data platforms (Bloomberg, Refinitiv). • Knowledge of risk systems, PnL, or regulatory reporting. • Exposure to data/AI initiatives in capital markets. • Agile certifications or prior consulting experience. • Experience working in consulting/client-facing roles. • Ability to support pre-sales, proposals, and solution workshops. • Exposure to data/AI transformation in capital markets.