DATA SCIENTIST
WHAT IS A DATA SCIENTIST
Our awesome client, a leading IT company based in Australia is looking for a Data Scientist to be part of their IT team.
The Data Scientist - Quantjoins our quant data scientist team and applies
machine learning and statistical modellings to financial and risk management
problems.
These models include but are notlimited to pricing, risk
segmentation and risk alerts.
WHAT WILL BE YOUR MAIN RESPONSIBILITIES
Working as part of an Agile team to investigate high volume transactional trading data & customer dimension data.
Actively contribute to discussions about data flow design, model design and standard methodology
Being hands-on in raw trading data and investigating unusual and interesting trends
Engaging closely with the Data Engineering team to develop & deploy models in production.
Working effectively with stakeholders to develop and release solutions with a focus on clear interpretation and easy actioning
Providing statistical evidence to communicate hypotheses and model projections
Assistin championing initiatives to improve the scalability and robustness of our models
WHAT ARE WE LOOKING FOR
Qualifications in Computer Science, Actuarial Science, Statistics, Mathematics, Econometrics and/or Applied Finance
Sound knowledge of financial and trading markets
Proficiency in Jupyter Notebooks, SQL, Python, PySpark, SageMaker or DataBricks/Snowflake/H20
**A discernible passion for quantitative modeling**: especially around large-scale data processing
Knowledge ofthe AWS technology stack
Experience in analyzing large, complex multi-dimensional datasets and coming up with key actionable insights
Experience in driving projects end to end from analysis, experimentation,testing to production
Proven financial modeling and risk management skills
A demonstrated ability to meet multiple competing deadlines
Strong problem-solving capabilities as well as the ability to adapt to changing and conflicting priorities
An understanding ofthe technology, use cases, and choices available across Data Processing (e.g.
Spark, Flink), Data Workflows (e.g.
Airflow, Luigi), Data Formats (e.g.
Avro, Parquet, Arrow, protobuf) - Desirable
Experience with MetaQuotes platform (desirable)
Experience with backtesting framework (desirable)
Ability to effectively collaborate with others
Sound communication skills both verbal and written
Ability to thrive in a nimble,fast paced environment
DATA SCIENTIST