Data Scientist

Job description

HSBC Global Services (Canada) Limited (HGCA) is a wholly owned subsidiary of HSBC Global Services Limited (HGSL), which is owned by HSBC Holdings plc. HGCA provides operational services to countries across the HSBC Group, including Canada and the UK.

Our Global Banking & Markets (GBM) Data Vision

Build a world class “data-driven” organization that rivals our competitors and inspires our employees. Leveraging a revolutionary Data Analytics ecosystem, to generate business insights and provides great customer experience from well-managed and trusted data assets.

Our Mission Statement

Our Data Analytics Ecosystem solves complex problems using cutting-edge technologies; helping to rapidly implement insights from data that can help drive more informed decision making. We will deploy smart machines to process complex and large sets of data, impossible in the legacy manual mining methods. Data underpins everything we do; from risk & regulatory management, through monetization, to predicting client behavior.

The Team

Our Data Science & Engineering teams are partnering with IT to deliver an ecosystem of curated, enriched and protected sets of data – created from global, raw, structured and unstructured sources. Our GBM Big Data Lake is the largest aggregation of data ever within HSBC. We have over 300 sources which equate to more than 20PTB of data, with a use case portfolio of over 110 projects that span all the business lines within GBM. We are utilising the latest machine learning tools and technologies to solve these hypotheses and deliver value and truly unique insights.

The Opportunity

We are seeking Data Scientists that will work on the end to end flow of a broad range of analytics use cases, to deliver real business value. From engaging with business stakeholders and understanding the problem, assisting data engineers in acquiring and processing the data, building and testing the appropriate model, to overseeing the deployment into production. We need people with experience of applying data science techniques to real world use cases, and seeing these designs through to completion and generating value from their models.

Desired profile

Qualifications :

Required Skills

·  Graduated from a top-tier university in applied mathematics, statistics, machine learning, quantitative finance or related scientific area.
·  Deep understanding of the theoretical grounds of machine learning and of the corresponding mathematical framework. Strong statistical knowledge is an asset for this position.
·  2-3 years of experience with strong programming skills (Python), with exposure to Data Science/ Visualisation packages such as SciKit Learn, Keras/ Tensorflow, Plotly
·  Statistics, analytics or machine learning background and hands on practical experience, leveraging python and has implemented data science use cases in production (eg in clustering, classification, predictions, time series analysis, anomaly detection)
·  Preferably some distributed compute experience and data engineering experience (pyspark, scala)
·  Experience in delivering data science solutions into production
·  Preferably an understanding of distributed compute environments e.g. MapReduce, Hadoop, Spark, H2O
·  Good understanding of global markets, markets macrostructure and macro economics
·  Critical mind and ability to challenge, intuition of implicit assumptions in mathematical developments.
·  Good communication skills (written and spoken), ability to engage with different stakeholders and to synthesize.

HSBC Proud

In 2017, HSBC Bank Canada was named one of the Best 50 Corporate Citizens by Corporate Knights magazine, in addition to The World's Best Bank by Euromoney Magazine in its annual Awards for Excellence.

Join HSBC, and benefit from the following:

·  Career Development: Within your current role, as well as Canadian and international opportunities
·  Company Reputation: Offering prestige, strength, and longevity
·  Business Growth: Underpinned by our drive, and the highest banking standards
·  International Connectivity and impact: Build global relationships and be a part of international initiatives
·  A diverse workforce: Reflecting our belief that diversity of thought, background and perspective make HSBC a stronger organization
·  Corporate Sustainability: We build our business for the long term by balancing social, environmental and economic considerations in the decisions we make