Join Macquarie Asset Management as an Associate Data Scientist. In this role, you will collaborate with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modelling, forecasting, optimization, and/or machine learning. You will use your expertise to propose innovative ways to look at problems by using these approaches on available enterprise data and third-party data and validate findings using experimental and iterative approaches. You will work across the organization with global teams across different time zones.
Your key responsibilities will include:
- working with business partners to identify and refine use cases
- applying analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business.
- creating and implementing algorithms and collaborating with data and platform engineers to deploy models and dependencies such as data pipelines
- creating and communicating insights, including through appropriate visualization techniques or Power BI dashboards
- supporting the identification of the required data sources and works with data engineers and/or IT to implement methodologies to retrieve and use this data.
- staying abreast of the latest appropriate analytical techniques and recommends these where needed. Explains implementation and usage in business terms.
- applying analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business.
- supporting business management in all matters concerning analytical techniques.
- supporting the business transformation of the enterprise through analytics.
- leading and conducting deep-dive research and analyses to identify opportunities
Preferred Background:
- Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
- 2+years of related experience in predictive modelling, large data analysis
- proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.
- proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.
- knowledge of Data Science principals and experience with data science methodologies.
- experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
- experience with at least two of the following areas: classical machine learning, deep learning, reinforcement learning/control systems, probability theory, statistics, causal inference, time series forecasting
- experience with an analysis tool such as SQL and R or Python for data analysis
What makes you stand out:
- expertise in programming languages (SQL, Python) for querying, visualizations and statistical modelling (incl. machine learning)
- experience in statistical modelling
- experience in AWS
- experience with Analytics IDE’s
- experience in data engineering / data architecting would be a good addition
About Macquarie Asset Management
Macquarie Asset Management is a large scale, global asset manager, providing clients with access to a diverse range of capabilities and products across infrastructure, real estate, natural resources, private credit, fixed income, equities, multi-asset and liquid alternatives. As at 31 March 2021, Macquarie Asset Management had $A562.2 billion of assets under management.
Our COVID-19 policy
The health and wellbeing of our employees is a priority. We continue to focus on providing a safe workplace for our people, our stakeholders and those who visit us, and are committed to contributing to the safety of the communities where we live and work.
In line with evolving health regulations and many of our industry peers, we require all Macquarie employees in the United States to be fully vaccinated against COVID-19 and provide proof of full vaccination in order to attend the office and to participate in external meetings and business travel, unless a reasonable accommodation is approved or as otherwise required by law.
Our commitment to Diversity and Inclusion
The diversity of our people is one of our greatest strengths, and an inclusive workplace enables us to embrace that diversity to deliver more innovative and sustainable solutions for our people, clients, shareholders and communities. At Macquarie, you'll be encouraged to be yourself and supported to perform at your best. If you're inspired to deliver on our purpose of ‘empowering people to innovate and invest for a better future’, we want you on our team. If you need adjustments made to the recruitment process, please reach out to your recruiter.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other impermissible criterion or circumstance. Macquarie also takes affirmative action in support of its policy to hire and advance in employment of individuals who are minorities, women, protected veterans, and individuals with disabilities.
We equip our people with the support to work in a range of flexible ways. Talk to us about what working arrangements would help you thrive.
