• Negotiable SGD
  • Singapour, Singapore
  • Intérim, Plein-temps
  • Hays Finance Technology Singapore
  • 15 sept. 18
  • Singapour, Singapore
  • Negotiable SGD
  • Plein-temps

Data Engineer (Risk Management)

As the data engineer for the business's risk team, you will apply your technical skills to inform portfolio decisions affecting the whole firm. You will work across the organization to drive the data strategy and develop tools to aggregate and analyze portfolio data across all products and jurisdictions in a truly global role.

3 - 6 years of data engineering experience within financial services

Your new company

A leading financial services group

Your new role

As the data engineer for the business's risk team, you will apply your technical skills to inform portfolio decisions affecting the whole firm. You will work across the organization to drive the data strategy and develop tools to aggregate and analyze portfolio data across all products and jurisdictions in a truly global role.

As the team's data specialist you will do more than just crunch the numbers, but you will drive strategic and creative solutions that can sustain the firm's competitive advantage. You will be self-starter who can work independently on projects while part of our team.

You will join a team of economists, political analysts, data scientists and finance professionals committed to evidence-based analysis on big picture questions that drive superior risk/return.

You will participate on discussions on the global risk environment and get exposure to economic and political analysis. You contribute with your own data-driven insights to a group of curious and analytically disciplined colleagues with a real passion for learning.

  • Drive the team's data strategy and develop tools to process and analyze portfolio data
  • Work closely with risk managers, business desks and technology on data-related matters
  • Lead strategic and creative data solutions that will sustain the business's edge in risk management
  • Keep up to date with markets, industry and technology trends


What you'll need to succeed

  • 3 - 6 years of proven data engineering experience, ideally in banking and financial services
  • Strong Python skills with deep understanding of object oriented concepts
  • Experience with common data management tools (NumPy, SciPy, Pandas, IPython, etc)
  • Good SQL skills (ability to query and manipulate large data sets)
  • Good working knowledge of Excel (macros, advanced functions) and VBA
  • Ability to understand data flows between systems
  • Entrepreneurial mindset and ability to be ingenious
  • Good interpersonal skills


Preferred Qualifications

  • Applied experience with machine learning on large datasets
  • Experience in answering business questions using mathematical techniques and data
  • Experience translating analysis into business recommendations.
  • Experience in finance and/or risk management
  • Interest in economics or political science is a plus


What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. If this job isn't quite right for you but you are looking for a new position within Data Science & Analytics, please contact Daen Huang at +65 63030158 or email daen.huang@hays.com.sg for a confidential discussion on your career.

Hays Registration Number: 200609504D, EA License: 07C3924, Registration ID Number: R1658977

Singapour, Singapore Singapour Singapore SG