Functional Consultant

About the role

Sigmoid is seeking a Functional Consultant for its FS (Investment Banking & Capital Markets) Consulting Practice. The ideal candidate will drive functional consulting to the clients in the Front office with skills in Capital Markets/Market Data/Reference data.

Roles and Responsibilities

• Stay abreast of emerging trends in technology driving investment banking & capital markets innovation, leveraging technology to define and deliver value to our clients.
• Monitor and analyze various FO systems, mappings, regulatory changes from legacy to cloud (knowledge on multi-cloud environments using Micro services architecture).
• Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions.
• Good Data Analysis and Modeling skills, should be able to work on various data sets from different sources.
• Help in building various documents w.r.t to Transformations, Migrations and various POV’s and solutions assets to help Sigmoid drive innovation and provide solutions to clients following industry trends and best practices.

Qualifications

• Bachelor’s Degree (BE / BTech - CS) from Tier I / II universities like IIT’s / NIT’s and MBA from Top Tier B-schools (IIM) preferred
• 5-8 Years of Experience in the financial services
• Thorough knowledge in capital markets concepts (front-middle-back office), securities servicing, trading, risk management, compliance, etc.
• Should have either worked on investment banking projects
• Road robust experience in Asset Management, Wealth management including Portfolio management, Clearing & Settlement processes, Trading- Pre trade Analytics, Trade processes and Post trade processes, front, middle, back office operations, reference data management, securities lending, corporate actions, transfer agency,
• Exposure in Risk management – credit, market, operational risk
• Exposure in Compliance management – AML/KYC, Trading Compliance, Risk & Suitability

Desired Skills

• Understanding of applications of statistical and machine learning algorithms
• Strong analytical skills and ability to work with global
• Any hands on quantitative experience with analytic tools
• A self-starter who can work well with minimal guidance