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Associate Data Scientist

Kansas City, Philadelphia

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.

About Macquarie

A career at Macquarie means you’ll have the opportunity to develop and utilise new skills, explore interesting fields and do challenging work that will impact the lives of people around the world—whether it’s accelerating the green energy transition, helping sustain global food supplies, financing social housing projects or investing in essential infrastructure. At Macquarie, we’re empowering people to innovate and invest for a better future.

Our size and international presence means your work can take you anywhere—across business groups, disciplines, sectors and borders. With 18,000+ employees and offices in 33 markets around the world, we’re a truly global organisation.

You’ll be supported by a diverse team where the unique perspectives, ideas and experiences that all of our people bring are valued. You’ll be empowered to address unmet needs in our communities whilst advising and investing alongside our clients and partners. Working with us, you’ll have the opportunity to make a difference.

Macquarie is a global financial group providing clients with asset management, retail and business banking, wealth management, leasing and asset financing, market access, commodity trading, renewables development, specialist advisory, capital raising and principal investment.

Find out more at www.macquarie.com/careers

Job no: MAM-960934
Work type: Permanent - Full time
Location: Kansas City, Philadelphia
Category: Mid-senior, Mid-level, Asset Management, Data & Analytics
Group: Macquarie Asset Management
Recruiter: Katie Maier
Opening Date: