Nazzeef Nazri

Nazzeef Nazri

Bornean-bred and Australian-based multi-potentialite

Student at the University of Adelaide

Biography

I am a multi-potentialite with backgrounds in Law, Data Science as well as Finance & Banking. I am currently pursuing a Masters in Applied Data Science at the University of Adelaide. I think that the law and data are ubiquitous across every domain and industry. As such, I am constantly seeking opportunities to marry my knowledge of the two in order to improve public policy, tools, resources and technology with the goal of innovating and serving the wider community.

Interests
  • Artificial Intelligence, Deep Learning, Machine Learning
  • Data Visualisation
  • Data Analytics
  • Quantitative Trading
  • Law
  • Banking and Finance
  • Risk Management (Credit risk, Financial Crime risk, Operational risk)
Education
  • Masters in Data Science (Applied), 2020-Present

    University of Adelaide

  • Certificate in Legal Practice, 2017

    Bricksfield Asia College, Malaysia

  • Graduate Diploma in Legal Practice, 2016

    University of Adelaide

  • Bachelor of Laws, 2012-2015

    University of Adelaide

Experience

 
 
 
 
 
Relationship Manager, Commercial Banking
HSBC Bank Malaysia Berhad
May 2019 – April 2020 Kota Kinabalu, Sabah, Malaysia

Managed portfolio of SME and Commercial Banking customers with revenue ranging from MYR 1 million to MYR 500 million from multitude of industries (i.e wholesalers, oil and gas, transportation and logistics, tourism). In doing so, I performed credit risk assessments as well as structured profitable deals while cross-selling the Bank's cash management, trade and digital banking products.

 
 
 
 
 
Management Trainee
HSBC Bank Malaysia Berhad
Jan 2018 – April 2019 Kuala Lumpur, Malaysia

Executed the delivery of several digital transformation projects in bolstering the Bank's risk management practices, particularly within the area of financial crime. Some notable projects include the implementation of the Gift and Entertainment Register to manage Anti-Bribery and Corruption risk, the fine-tuning of Transaction Monitoring systems in order to improve the quality of anomalous transaction alerts generated for existing and new banking products as well as the embedment of several Financial Crime Risk dashboards in order to track key performance and risk indicators.

 
 
 
 
 
Legal Clerk
Shaw and Henderson, Commercial and Criminal Law Firm
May 2016 – July 2016 Adelaide, South Australia

Researched legislations, court decisions, legal articles and scientific journals/books particularly relating to drug offences, murder, rape, arson and commercial disputes. Consequently, produced and lodged legal documents in Court and Public Records Office.

 
 
 
 
 
Student Legal Advisor
Consumer Credit Law Centre
Feb 2015 – June 2015 Adelaide, South Australia

Interpreted laws, rulings and regulations for individuals and businesses particularly when dealing with banks and ensuring that banks adhere to responsible lending obligations.

Projects

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Individuals at risk of being drawn to online sex work
Exploratory data analysis using network analysis to determine characteristics of individuals at risk of being drawn into online sex work within their network of friends
Predicting Medical Insurance Claims
Regression analysis in order to predict medical insurance claims using linear regression, polynomial regression, support vector machine and random forest regressor
Stock Returns Prediction
Time-series analysis by performing explanatory and predictive modelling of future stock returns using Random Forest Regressor, Support Vector Machine and long short-term memory Neural Network (LSTM).

Contact