Data Analyst - WealthTech

Data Analyst - WealthTech

Role : Data Analyst

Job type : Full time

Location : Goregaon East, Hybrid model (candidates in and around Goregaon East / Western Line preferred)

Functional Area : BFSI / Investment Tech / Wealth Tech

About the role :

- We are looking for an experienced Data Analyst who assist in improving the communication between our information technology capacity and our business objectives.

- Your duties will include supporting and ensuring the successful integrations of various private bank and custody data feeds in global Wealth management product and maintain reconciliations and data breaks and Other Responsibilities includes performance and risk analysis, building, testing and deployment tasks of our software product's features.

- You should have good understanding of business processes as well as principles of technical teams' work.

- We also expect you to have good analytical capabilities and to be a result-driven team player.

You will be responsible for :

- A Financial Data Engineer serves as a liaison between developers and users, clients, management, and IT.

- Using IT resources at an advanced level to create Interfaces, ETL Solutions, enabling Valuefy meet their goals Understanding data formats and translating them to useful process inputs.

- Excellent knowledge and experience in data modelling, data structuring, and data analysis.

- Good understanding of Private banks and custody portfolio data feeds.

- Deep understanding of derivative and exotic financial products like Structured product, FX derivatives, FX and Interest rate swaps, accumulator/decumulator.

- Hands-on experience of valuation of financial products, performance and risk computation across asset classes.

- Collaborating closely with the development teams and business in an agile environment

- Solution implementation from excel integration, data uploads, data checks, documenting processes, meetings, flow diagrams, manuals, etc.

- Strong SQL skills: extract, manipulate, transform, and analyze large volumes of data with a high level of accuracy.

- Deep understanding of data reconciliation and inconsistent breaks in portfolio management.

- Planning and monitoring

- Requirements organization and translating and simplifying requirements.

- Prioritize requirements and create conceptual prototypes and mock-ups.

- Apply best practices for effective communication and problem-solving.

Qualification & Experience :

- Any Graduate or Postgraduate.

- MBA in Finance, CFA or FRM is added advantage.

- 3 to 5 Years of professional experience.

- Strong written and verbal communication skills.

- Good understanding of financial concepts applicable in Capital markets.

- Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.

- Being able to create examples, prototypes, demonstrations.

- Understanding of systems engineering concepts

- Business case development

- Modeling techniques and methods

- Flexible and able to adapt to business requirements.

- Strong logical thinking and problem-solving skills.