Analytics Production Engineer

6 months ago

Norfolk, United States Careers@Gov Full time
[What the role is]

The Monetary Authority of Singapore (MAS) is Singapore’s central bank and integrated financial regulator.

As central bank, MAS promotes sustained, non-inflationary economic growth through the conduct of monetary policy and close macroeconomic surveillance and analysis. It manages Singapore’s exchange rate, official foreign reserves, and liquidity in the banking sector.

As an integrated financial supervisor, MAS fosters a sound financial services sector through its prudential oversight of all financial institutions in Singapore – banks, insurers, capital market intermediaries, financial advisors, and stock exchanges. It is also responsible for well-functioning financial markets, sound conduct, and investor education.

MAS also works with the financial industry to promote Singapore as a dynamic international financial centre. It facilitates the development of infrastructure, adoption of technology, and upgrading of skills in the financial industry.

Join us now, if you have a genuine interest in making an impact to help shape Singapore’s economic and financial landscape.

[What you will be working on]

MAS’s Data Analytics & Engineering (DAE) Division is a specialised team within the Data Technology and Architecture (DTA) Department within the Technology Group (TG) in MAS.

DAE’s primary purpose is to partner internal MAS functions to generate business value through the enablement of effective use of data driven insights for business value creation. This is achieved through effective strategies, strong in-house development capability, standardization of processes, tool enablement, establishing a product development mindset, promoting knowledge sharing within MAS and complementary external collaborations.

As a DAE Production Engineer, you will be working in a fast-paced environment that would require the ability to manage multiple priorities and needs of stakeholders, as well as the agility to respond to changes and developments. Specifically, you are expected to:

  • Be a technically skilled leader grounded on best practices

    • Be accountable for and drive production engineering related initiatives with a team of skilled production engineers

    • Be directly responsible for the delivery of the complex production engineering projects within DAE

    • Establish production engineering best practices, day 2 operating models, methodologies, and standards across team and MAS

    • Stay up to date on emerging methods and technologies that complement data science trends

  • Be an effective communicator and collaborative partner

    • Collaborate effectively with DAE’s Data Science (DS) and Product Management (PM) teams to translate and host data science products on enterprise data science platforms (EDSPs) owned and managed by the PE team

    • Work with other TG divisions such as Technology Architecture and Engineering (TAE), Cyber Security (CySD) and Data Collaboration Platforms (DCP), and identify requirements to enable scalable and secure EDSPs that are well integrated within MAS’s data and enterprise architecture

    • Promote the growth of the Data Analytics Community of Practitioners (DACoP) through organisation of workshops, training sessions, and forums to foster greater awareness of engineering best practices within MAS

  • Be a supportive team player

    • Support any TG, DTA, DAE initiatives as required.

    • Strengthen DAE’s positive and open working norms

[What we are looking for]

  • Bachelor’s degree, preferably in Computer Science, Information Systems Management, Engineering, or another related field.

  • Excellent platform and data engineering skills, with at least 3 years of prior experience delivering enterprise data science or big data platforms within public service and/or financial services industry

  • Familiarity with various database technologies such as MSSQL and MySQL. Working experience with both structured and unstructured datasets a must

  • Working experience in developing DevSecOps and MLOps pipelines, either on premise or on cloud

  • Knowledge on configuring popular operating systems such as Linux and Windows against CIS standards

  • Experience setting up AWS or GCP services a plus

  • Good appreciation of common cybersecurity risks and controls

  • Comfortable working on multifaceted problems in an agile environment. Demonstrate ability in overcoming business and technical constraints and deliver platforms necessary to productise data science products in MAS

  • Strong presentation and communication skills. Ability to explain technical concepts to a non-technical / business / senior management audience is a must

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

This is a 2-years contract All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

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