Senior Data Engineer, Data Strategy, ERM

  • Negotiable
  • Singapore Singapore Singapore SG
  • Permanent, Full time
  • Standard Chartered Bank Singapore
  • 19 May 18 2018-05-19

Function Overview The Data Strategy team is part of Enterprise Risk Analytics with focus on Risk, Compliance and Finance (RCF) functions. One of teams' key objective is to provide leadership and coordination in Data Science and Advanced Analytics initiatives across RCF

Function Overview

The Data Strategy team is part of Enterprise Risk Analytics with focus on Risk, Compliance and Finance (RCF) functions. One of teams' key objective is to provide leadership and coordination in Data Science and Advanced Analytics initiatives across RCF


Role Responsibilities

The job focus will be to drive cross functional advanced analytics projects:

  • Work with partner teams to create and build next generation data products and analytics solutions
  • Research, design, implement and validate cutting-edge analytics and data visualization techniques to demonstrate targeted outcomes.
  • Use machine learning to optimize our ability to address problems in RCF functions
  • Work with CDO, CIO Functions and Modellers to run proofs of concept (PoC) in specific areas
  • Provide expertise in migrating PoC projects to productionise (where found appropriate)
  • Contributing/leading development of sandbox/prototype solutions coordinating with other areas of ERA as appropriate, demonstrate to users and gather feedback
  • Assessing problem statements & propose potential solutions by advocating and enabling data-driven analytics
  • Respond to requests from senior management to develop tactical, bespoke analyses to address urgent risk management needs.
  • Coordinate with ERM teams such as Stress Testing, IFRS9 and Portfolio Risk to establish how existing results/ analytics or processes can be leveraged to respond to requests.
  • Work with cross-functional teams to identify and prioritize actionable, high-impact analytics opportunities

People and Talent
  • Uphold and reinforce the independence of the Data Strategy team from those whose primary responsibility is to maximise short-term revenues and profits

Regulatory & Business conduct
  • Display exemplary conduct and live by the Group's Values and Code of Conduct.
  • Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
  • Work to achieve the outcomes set out in the Bank's Conduct Principles: Fair Outcomes for Clients; Effective Operation of Financial Markets; Financial Crime Prevention; The Right Environment.
  • Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

External Relationships
  • Develop and maintain relationships with external/ alliance partners

Key Stakeholders
Internal:
  • Risk Finance and Compliance Management Team Members
  • Risk COO Management Team
  • Finance Operations and Transformation Management Team
  • Group Technology and Operations - In particular, CDO, CIO Functions and Functions ITO
Business / Front Office

External:
  • Key industry alliance partners
Other Responsibilities
  • Embed Here for good and Group's brand
  • Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures

QUALIFICATIONS

  • Bachelor or Master's degree with technical degree preferred (statistics, mathematics, computer science, etc.)
  • Experience working with large datasets and the expertise in data wrangling
  • Experience in Machine Learning using supervised learning and unsupervised learning methodologies
  • Extensive programming experience using R, Python, SAS and/or MATLAB
  • Strong analytical mindset with excellent analytical, logical, reasoning and problem-solving skills.
  • Previous risk management experience and sound knowledge of financial statements is desirable
  • Excellent written and oral communication skills at all levels (i.e. colleagues to senior management) and situations (i.e. one-on-one to presentations)
  • Exposure to advanced machine learning methodologies is a plus
  • Exposure to Web-Scraping, processing unstructured data (large text) is a plus