Quantitative Engineer - AI Quantitative Engineer - AI …

Standard Chartered Bank
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 17 Jan 20
Competitive
Standard Chartered Bank
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 17 Jan 20
Competitive
Standard Chartered Bank
Quantitative Engineer - AI
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 & Our Ideal Candidate


We are seeking a highly motivated and skilled software engineer with a love for solving business problems evolving around approximation and optimization algorithms. The successful candidate will be part of a small strategic Research team focused on high-performance computing, deep approximation and accelerated compute. The team will be focused on research and development building initial prototypes as well as collaborating with platform teams to translate prototypes into a platform/product to solve core business problems. This is a rare opportunity for a self-driven, start-up minded, strong and passionate researcher/engineer to participate and contribute to a paradigm shift in the financial sector. We want people driven by the mission!

Qualifications:
Any of the below qualifications will be beneficial when being considered for this position.
  • Bachelor's, Master's or PhD degree in: Computers Science, Computer/Electrical Engineering, or STEM related field.
  • Experience in machine learning
  • Strong C++, Haskell or Python programming skills.
  • Knowledge of functional programming.
  • Experience with numerical optimisation libraries.
  • Experience with multithreaded, GPGPU or FPGA development.
  • Experience in modelling complex real world problems, timeseries, big datasets.
Responsibilities
As a senior member of the team,
  • You will be responsible for the design and implementation of significant parts of the optimization (e.g. genetic algorithms / global optimizers and performance tuning) as well as deep approximation pipelines.
  • Your work will make Financial Markets programs faster and will be key in enabling future business solutions.
Others desirable skills/knowledge:
  • 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 technology production tooling - e.g. modern dev-ops - CI/CD pipelines
Soft skills:
  • Fluent in English (speaking and writing)
  • 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 .
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