Fid federal risk applications data engineer Job at NTT DATA (Bangalore)

Job Description

Our focus is developing systems serving as a data integration and feeding platform, ensuring that calculation results and other data initiated in our Division reaches our downstream clients and meeting all their requirements. The main challenges in this area are the volume of the data (feeding hundreds of gigabytes daily), interfacing with multiple other systems, being exposed to different financial products to a certain extent and being resilient to errors while keeping our SLA-s. The data we feed is critical in fulfilling the regulatory requirements set by the FED, PRA or BAFIN. Our team is also involved in developing calculations of regulatory scenarios requested by our Market Risk Department. The main technical challenge for this team is computational complexity.

Job Responsibility

Develop IT systems covering various aspects of the business run by our Institutional Securities (Fixed Income and Equities) division
Have the opportunity to work in close collaboration with our business user and learn business concepts like how certain financial products and financial markets work
Participate in every stage of the lifecycle of an IT system ranging from gathering the requirement and refining user stories, designing solutions, and writing code to help our support organization to answer the most interesting user questions
Work on a diverse technology landscape involving various programming languages (Java, Scala, Python), data management systems, CI/CD pipeline (Jenkins)
Our team has a wide coverage on technical and business problems to solve ranging from developing data integration and feeding solutions having extreme throughput and resiliency requirements to calculating regulatory scenarios requested by our Market Risk Department. The choice will primarily depend on skillset, personal interest and team fit

Requirements

8-12 years of experience in designing and building architecting highly resilient data platforms
Strong knowledge of data engineering, architecture and data modeling
Experience in platforms like Databricks, Snowflake and Kafka
Experience on building applications on cloud (AWS or Azure)
Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an advantage
Strong programming skills (Java/ Scala / Python) skills with the willingness to pick up the other language if not already mastered at a sufficient level
OOP design skills with an understanding or at least personal interest towards the concepts of Functional Programming
Willingness to understand and enhance other people’s code, being able to work in an environment where developers will oversee and work on wider wider bucket
Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile methodology is an advantage
Bachelors or Masters in any relevant field of IT/Engineering
Strong analytical and problem-solving skills
Prior knowledge of financial products is an advantage

What we offer

A competitive compensation and benefits package including eligibility for an annual bonus and flexible working arrangements (core hours / work-time cycle and opportunity to work from home)
Work for the firm that attracts some of the brightest talents like Bjarne Stroustrup, the inventor of the C++ language
A supportive and vibrant multinational environment, which is leveraging technology to its highest potential. We accept individual differences and believe in teamwork
An open door to have continuous dialogue with our senior leaders – an environment where you are truly listened to
Professional development opportunities including access to Morgan Stanley’s world-class internal trainings

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Fid federal risk applications data engineer

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