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RARR Technologies

Data Analysis Capital Market

5-10 Years
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  • Posted 11 days ago
  • Over 50 applicants
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Job Description

  • Bachelors or Masters degree in Computer Science, Information Systems, Finance, or a related field.
  • Minimum of 5 years of experience in data modeling, with a strong preference for candidates with capital markets experience.
  • Expert knowledge of financial products, trade lifecycle, and market data.
  • Demonstrated experience in modeling trade data using industry-standard protocols and schemas such as FpML (Financial Products Markup Language), ISDA CDM (International Swaps and Derivatives Association Common Domain Model), FIX (Financial Information eXchange), SWIFT, or ISO20022.
  • Proficiency in data modeling tools (e.g., ERwin, PowerDesigner, IBM Data Architect) and familiarity with database technologies (SQL, NoSQL).
  • Experience with data warehousing, ETL processes, and big data platforms.
  • Excellent analytical, problem-solving, and organizational skills.
  • Effective communication skills, with the ability to interact with a variety of stakeholders.
  • Understanding of financial regulations (e.g., GDPR, MiFID II, Dodd-Frank) and their impact on data management.
  • Ability to work independently as well as collaboratively in a team environment.
  • Relevant professional certifications (e.g., CFA, FRM) are considered an asset
  • Ibm, Data Analysis, Data Modelling & Visualisation, Power Designer, Emir

More Info

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Open to candidates from:
Indian

About Company

At RARR Technologies Pvt. Ltd., we believe in the power of collaboration and open communication. Our collaborative approach enables us to deeply understand our clients requirements, allowing us to craft software products that are not only technically superior but also align perfectly with their business goals. By combining our expertise with a meticulous attention to detail, we ensure that every line of code we write contributes to the creation of robust, scalable, and future-proof digital solutions that stand the test of time.

Job ID: 112902857