• Competitive
  • Hong Kong
  • Permanent, Full time
  • HSBC
  • 2019-03-22

Regulatory Compliance Analytics Manager - Global Risk

  • Full time
  • Hong Kong
  • 22 Mar 19

Regulatory Compliance Analytics Manager - Global Risk

Some careers have more impact than others.
If you're looking for a career where you can make a real impression, join HSBC and discover how valued you'll be.

Global Risk is a thriving and expert risk management function supporting HSBC globally with all aspects of risk management. The team actively manages a varied and dynamic range of risk types, including security, fraud, information security, contingency, geopolitical, operational, credit, pension, insurance, financial crime and regulatory compliance, market and reputation risks. All parts of the Global Risk team use their skills, insight and integrity to handle established threats and those they see emerging, acting to protect and enable HSBC to deliver sustainable growth.

We are currently seeking a high caliber professional to join our team as Regulatory Compliance Analytics Manager .

Principal responsibilities
  • Participate in projects leading to solutions using various analytical techniques for the Market Conduct predictive analytics activities through involvement in any or all of the following activities
  • Design of predictive analytics strategies and models, their prototyping and implementation
  • Develop advanced machine learning capabilities to codify human decisioning
  • Data Quality Analysis, Segmentation, Threshold Setting and Tuning for Surveillance Monitoring
  • Trend Analysis and Dashboard Creation based on Visualization techniques
  • Data Implementation Checks and Data Quality Assurance
  • Development of model and data attestation frameworks
  • Development of bespoke solutions and tools to enhance the effectiveness and efficiency of surveillance within Regulatory Compliance
  • Execute the assigned projects and analysis as per the agreed timelines and with accuracy and quality
  • Complete analysis as required and document results and formally present findings to management
  • Adhere with all the applicable compliance policies including Data security policy, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, relevant regulatory guidelines and the bank's business standards as applicable
  • Lead projects and initiatives including supervision and mentoring of team members


Qualifications
Requirements
  • ​Post Graduate qualifications quantitative MSc or PhD in Statistics, Applied Mathematics, Econometrics, Electronic Engineering or any other relevant quantitative discipline
  • Post qualification experience in Machine Learning. Knowledge and understanding of financial services preferred and market conduct landscape is preferred
  • Knowledge of statistical and numerical techniques, data manipulation, feature engineering, linear and non linear regressions, predictive modelling, machine learning such as NN, CNN, SVM, Random Forest, Naïve Bayes, KNN, K means and other Gradient Boosting algos, Image recognition, NLP, sentiment analysis, text abastraction, supervised, unsupervised, reinforced learning and evolutionary algorithms, sentiment analysis and text abstraction tools, name entity recognition is preferred
  • Strong experience in any of the following Matlab, Python, R with relevant ML libraries is preferred
  • Strong knowledge of Big Data stack such as Hadoop or Hortonworks, NoSQL including Elastic, MongoDB, HBase, Cassandra, Data ingestion tools including Flume, Kafka, Sqoop,Storm is preferred
  • Project based business knowledge, and awareness of model risk governance is preferred
  • Creative and analytical thought process and aptitude for problem solving
You'll achieve more when you join HSBC.

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

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