Data Scientist – Predictive Modelling with a global trading commodity MNC Data Scientist – Predictive Modelling with a  …

The Cap Consulting Group Pte Ltd
in Singapore
Permanent, Full time
Last application, 04 Mar 21
market range
The Cap Consulting Group Pte Ltd
in Singapore
Permanent, Full time
Last application, 04 Mar 21
market range
Posted by:
Xinyi Lim • Recruiter
Posted by:
Xinyi Lim
Recruiter
Data Scientist – Predictive Modelling with a global trading commodity MNC

Data Scientist – Predictive Modelling  with a global trading commodity MNC

  • Experience of implementing trading models for trading desks is a must.
  • Looking for data scientists with related data scientist experience gained with commodity trading, investment banking or hedge fund firms.
  • Has the experience of managing all aspects of the life cycles of model development including data generation, research, data requirement identification,  model development, back testing, model productization.

 

Our client is a renowned and global commodity trading MNC.

 

For this role, you are part of the digital and innovation team supporting the commodity traders covering the paper trading busines. One of the critical enablers to the marketing trading business is to embed a new portfolio of digital and other innovative concepts and analytical tools.  This team is charged with identifying, designing and implementing solutions to enable commercial business units in mining supply chain and commodity trading desks by using novel technologies and business data to uplift their bottom-line results.

 

Key functions:

Concept Development and Delivery

  • Work closely with stakeholders from across the Marketing Business Unit but especially with the front office traders to understand the question that they are trying to address to unlock value by making key trading decisions. Relevant domains; Trading, Sales, Customer Interaction, Supply Chain Optimisation, Shipping and Freight Trading, Risk Management, Finance etc.
  • Assist business in designing data capture / experimental setups for exploratory work, or changes in process / data capture in existing systems.
  • Perform exploratory data analysis, using Python, and provide rapid iterations of analysis to refine posed problems, and identify potential solutions. Maximize insight into a data set; uncover underlying structure; extract important variables; detect outliers and anomalies; test underlying assumptions; develop parsimonious models; and determine optimal factor settings.
  • Develop mathematical and statistical models/ algorithms and/or machine learning algorithms to analyse data and address a particular business question.
  • Assist and supervise Data Engineers / Developers in developing and deploying production workflows for taking data in real-time or periodically from sites / business functions, passing the data through the developed models and producing the relevant reporting without human intervention.
  • Work with commercial business stakeholders on reporting results from analytics tools and improve the models. Relate the results with the financial performance of the desk and suggest improvement areas
  • Ensure that solutions are aligned to group standards (including Anglo American Security and Operating Standards) 
  • Work with and support IM and business in architecture of data warehousing and data-lake as required.
  • Align delivery of the solutions and analysis according to Agile and Lean methodologies
  • Research industry trends and identify industry best practices to further progress and develop digital best practice within the Marketing BU
  • Leverage learnings from across relevant team and contribute the development of a high calibre data science capability.

 

Formal qualifications:

  • Required: PhD or Masters in mathematics, statistics, computer science, electrical and computer engineering with min of 3 years relevant data science experience.
  • Looking for similar data scientists roles with exposure to the commodity trading, investment banking or hedge fund firms.

 

Role-specific knowledge:

  • Extensive experience applying mathematical / statistical modelling. Experience on various models and skill to select one which fits to the problem best.
  • Experience of implementing trading models for trading desks is a must.
  • Experience with managing all aspects of trading model research process including trading idea generation, data identification, data analysis and back testing. Experience with structuring proprietary information and using them for new trading ideas is a plus.
  • Has the experience of managing all aspects of the life cycles of model development including data generation, research, data requirement identification,  model development, back testing, model productization.
  • Advanced machine learning and deep learning experience. Working knowledge of common machine learning algorithms including logistic regressions, SVMs, Neural Networks
  • Experience with working with time series data sets, including classification, regression, distribution analysis and predictive modelling. Exploratory data analysis
  • Expert level coding with Python
  • (Strongly preferred) Domain knowledge of commodities covering trading, operations, risk management and financial accounting
  • Experience with managing all aspects of solving real world problems using optimization including requirements gathering, translating them into conceptual design, model formulation, and model productization.
  • A good team player who also possesses strong consulting skills

 

To apply, please send your cv in word doc to resume@cap-cg.com . Please also include details on your current salary, expected salary and notice period in your cv.


We regret to inform that only shortlisted candidates will be notified.

 

Posted by:
CAP Consulting (EA license: 14C7175)
Caroline Poh (EA Registration: R1105649)

Date revised - 18 Feb 2021

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