Business Analyst

Sigmoid•Boston, MA

23h

About The Position

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 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.

Requirements

5–8 years of experience as a Business Analyst in Capital Markets or Investment Banking.
Strong understanding of one or more asset classes 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.

Nice To Haves

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

Responsibilities

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
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.
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.
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.