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Lead Engineer - Applied Innovation (Full Stack)

Keywords / Skills : Lead Engineer, Full Stack Developer

7 - 17 years
Posted: 2019-05-16

Industry
Banking/Financial Services
Function
IT
Role
Software Engineer/Programmer
Team Leader/Technical Leader
Education
Masters
Post Graduate
Salary
12000 - 20000 SGD
Posted On
16th May 2019
Job Description
Our client is a global provider of financial markets data and infrastructure. They provide a unique opportunity to work in a global company with a culture of a start-up.

You will be:
  • Building spectacular Proof of Concepts (POCs) to Beta products for the global Finance and Risk community via design led agile development in partnership with customers
  • Creating compelling proposals with technologists in partnership with business, driving innovation from conception to production
  • Analysis, design and implementation of complex software solutions using customer focused design driven methodologies, delivered via public cloud
  • Defining, organising and implementing projects across multiple locations and time zones
  • Translating end user needs to requirements using a lightweight agile design led methodology
  • Lead and inspire an small and talented team of data engineer and full stack engineers while actively contributing to projects.
  • Lead all projects from an engineering perspective, removing obstacles and taking ownership to find creative solutions
  • Building domain expertise in Financial market content and company systems.
  • Developing and broadening your skills through mentoring and collaboration with experienced professionals
  • Networking in the fintech, big data and academic community through conferences, meetups and workshops – bringing cutting edge techniques and technology into business strategy
As a part of their growing Singapore Lab team of data scientists, engineers and UX/UI designers you will be part of the global network of like-minded colleagues in their sister labs in London, Singapore, and San Francisco.

Recently the group has worked on graph-based risk analysis, turned text into risk signals, created ML predictions of bond prices, and created real time data simulation. The team offers a flexible working environment, values curiosity and supports an open and learning culture for all levels of experience & seniority.

Essential Skills
  • Experience producing and rapidly delivering minimum viable products, results focused with ability to prioritize the most impactful deliverables.
  • Excellent skills and experience working in modern languages such as Golang and JavaScript
  • Experience in delivering scalable distributed computing with fault tolerance
  • Experience producing and rapidly delivering POCs
  • Experience building discrete microservices with simple repeatable Cloud native patterns
  • Strong experience of cloud infrastructure like Amazon Web Services (AWS) with services and products like EC2, S3, ECS, Docker, Elastic Search and CloudFormation
  • Unix environment and Bash scripting
  • Understanding of security best practices for Cloud
  • Experience with version control systems (Git)
  • Experience with SQL (Postgres), NoSQL and/or Big Data (BigQuery)
  • Critical thinking, value judgment and common sense over process
  • Positive attitude to learning new skills and technologies
  • Proven track record leading and contributing to engineering teams, conveying objectives and expectations with clarity to align to business goals involving an inclusive, knowledge sharing and feedback oriented culture to nurture talent
  • Stellar interpersonal skills with a result-oriented attitude and a proven ability to handle multiple complex projects in a dynamic and collaborative group settings
Desired Skills
  • Experience of cryptography such as public key encryption, KMI
  • Experience with CI/CD pipelines (Jenkins, Gitlab CI)
  • RESTful API design and implementation and messaging system experience
  • Knowledge of TCP/IP networking and network protocols
  • Strong understanding of different database types, with the ability to select the appropriate type per problem category
  • Strong understanding of Algorithms and Data Structures
  • Open source advocacy and participation
  • Experience in an applicable business field such as Financial Engineering or Electronic Trading
Education/ Certifications: (Specific degrees and/or certifications required or preferred)
  • Masters or BSc in Computer Sciences or Computer Engineering desirable


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