Data Scientist - Dayshift

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