Big Data Analytics Engineer

  • Job category
    Banking and Finance, Information Technology, Risk Management
  • Job level
  • Contract type
    Permanent, Full Time
  • Location
  • Salary
    S$9000 - S$18000

Job Description

About Standard Chartered

We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.

To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours - do the right thing, better together and Never settle - as well as our brand promise, Here for good.

We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.

The Role Responsibilities

We are seeking a highly motivated and skilled software engineer with a love for solving business problems evolving around data, ML, analytics. The successful candidate will be part of a Trading platform team building an innovative and high-performance algo and big data solution.

This is a rare opportunity for a self-driven, start-up minded, strong and passionate engineer to participate and contribute to a paradigm shift in the financial sector. We want people driven by the mission!

You will be responsible for the delivery of data analytics solutions to production working with technologists, quants and data scientists.

Develop data processing pipelines for ingestion, modelling, analysis, mining and reporting.

Our Ideal Candidate


Strong Python programming skills.

Strong Java programming skills. Nice to have Haskell.

Over all 4+ yrs of experience in which at least 3 years building big data solutions, distributed computation, real-time fast computation / stream processing for a finTech or Financial company.

Msc / PHD in a quantitative topic, Bachelors in any discipline can also be considered.

Proven experience (at least 3 years) building solutions using spark, Tensorflow, no-SQL (mongo), SQL DBs (oracle db).

Experienced in deploying analytics models in production using established devops pipelines (bitbucket, ansible, use of VMs, AWS..).

Others desirable skills/knowledge and traits

Passionate about data-driven solutions.

Familiar with financial markets, e.g. Bonds.

Think data to enable the business

Ability to think “Product/platform” with a strong alignment with expected business outcomes/journeys

Ability to scope minimum viable functionalities for quick and iterative/incremental deliveries – this is a must for the candidate

knowledge of functional programming (Haskell).

Soft skills

Exceptional Communication Skills

Able to be self-driven in one’s work,

Strong analytical and problem-solving skills

Good team spirit

Apply now to join the Bank for those with big career ambitions. To view information on our benefits including our flexible working please visit our career pages.

How to Apply

Please visit - to apply now and take the next step in fulfilling your potential.

You can search and view current opportunities across our global organisation and apply immediately by visiting

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• You will need to log in (or register if you are visiting our careers site for the first time) before you can apply for a specific role

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• We will ask you about your education, career history and skills and experience, it may be helpful to have this information at hand when completing your application

It usually takes 15 - 20 minutes to complete the application form; you can save your application at any time and return to complete it at your convenience.

Diversity & Inclusion

Standard Chartered is committed to diversity and inclusion. We believe that a work environment which embraces diversity will enable us to get the best out of the broadest spectrum of people to sustain strong business performance and competitive advantage. By building an inclusive culture, each employee can develop a sense of belonging, and have the opportunity to maximise their personal potential.

Closing on 25 Apr 2021

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