analyst - financial and risk (python/sql) in Singapore

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job details

posted
location
singapore
specialism
information technology
job type
permanent
salary
S$ 4,000 - S$ 5,500 per month
reference number
90M0351292_1529386243
contact
melissa low, randstad
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job description

about the company

Our client sits in the Financial and Risk business.

With a prestigious global brand name, the company is seeking a highly ambitious Content Analyst who has a strong track record in coding.



about the job

In this role, you will be responsible for:

  • Provide subject matter expertise for financial markets News, Research, Call Transcripts, Email and Lipper Analysis covering all asset classes
  • Work with NLP Data Scientists and Data Engineers on thought processes and problem statement formation and labelling
  • Collate, catalogue, extract and label large sets (millions) of structured and unstructured data from internal and external sources in document and relational stores
  • Co-ordinate with Product Content Managers and Analysts across the globe to assist with labelling and verification
  • Data massaging and concordance from multiple sources
  • Visualization and analysis of Machine Learning Model results

This is a permanent role that offers an excellent work environment and benefits.



skills and experience required

To succeed in this position, you will need:

  • Bachelor’s degree in Computer Science, Finance or Economics
  • Minimum 2 years of related experience
  • Python and SQL is a must
  • Background in Financial Content Operations is a bonus
  • Passionate about AI, Machine Learning and Big Data
  • Ability to use collaborative documentation tools to document complex ideas clearly and concisely



To apply online please use the 'apply' function, alternatively you may contact Melissa at melissa.low(at)randstad.com.sg

(EA: 94C3609/ R1109259)





skills

python, sql, big data, machine learning, finance, risk, statistics, analyst

qualification

skills and experience required
To succeed in this position, you will need:

Bachelor’s degree in Computer Science, Finance or Economics
Minimum 2 years of related experience
Python and SQL is a must

responsibilities


Provide subject matter expertise for financial markets News, Research, Call Transcripts, Email and Lipper Analysis covering all asset classes
Work with NLP Data Scientists and Data Engineers on thought processes and problem statement formation and labelling
Collate, catalogue, extract and label large sets (millions) of structured and unstructured data from internal and external sources in document and relational stores
Co-ordinate with Product Content Managers and Analysts across the globe to a

educational requirements

Bachelor Degree