Applications Data Engineer/Developer

3 weeks ago

Singapore ARGYLL SCOTT CONSULTING PTE. LTD. Full time
Roles & Responsibilities

We are hiring an Applications Data Engineer/Developer for Market Risk & Regulatory Calculations on an initial 12-month contract, with the potential for extension depending on business requirements.

Team and what we are trying to achieve:

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.

You will:
  • · 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
You have:
  • · 4 - 10 years of experience in designing and building architecting highly resilient data platforms
  • · Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an advantage
  • · Desire to work with various stakeholders in order to understand business requirements and deliver best value for them
  • · Strong knowledge of data engineering, architecture and data modeling
  • o Experience in platforms like Databricks and Snowflake is a bonus
  • o Experience on building applications on cloud (AWS or Azure or Google Cloud)
  • · Strong analytical and problem-solving skills
  • · 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 components also dealing with older "legacy" code
  • · Strong programming skills (Java/ Scala) skills with the willingness to pick up the other language if not already mastered at a sufficient level is important
  • · Spring knowledge is an advantage, but in general willingness to learn, work with and even enhance in-house developed frameworks is a must
  • · Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile methodology is an advantage
  • · Prior knowledge of financial products is an advantage
  • · Bachelors or Masters in any relevant field of IT/Engineering area is an advantage

Argyll Scott Consulting Pte Ltd

Tell employers what skills you have

Market Risk
Scala
Data Modeling
Scrum
User Stories
Throughput
Data Integration
Securities
Data Engineering
Agile Methodology
JIRA
Google Cloud
OOP
Fixed Income
FEED
Software Development
Equities

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