Senior Analyst | Risk Data & AI

Sydney, NSW, AU

Deloitte

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Job Requisition ID: 38129 

 

•  A dynamic environment that will give you the opportunity to grow your career 
•  An energetic and supportive culture that puts people first
•  Flexible ways of working

 

Based in Sydney, we are looking for Senior Analysts who have a passion for solving complex risk-related business problems using technical and innovative solutions 

 

What will your typical day look like?

You will focus on using technology and building innovative analytics and AI-based solutions to help our clients with their most complex risks. You will work in a team that embodies trust, value collaboration, with skills in data, analytics and innovation:

Data Engineering / Analytics
•    Build high-performance data pipelines using advanced data engineering and ETL practices for effective client solutions.
•    Leverage AI, especially generative AI, to turn client risks into opportunities.
•    Maintain and deploy analytical assets to support clients and expedite delivery.

Data Science
•    Develop and deploy practical models from large, ambiguous quality datasets to drive customer outcomes and inform senior decision-making.
•    Perform complex feature engineering on risk-related data to enhance model performance.
Additional consulting activities:
•    Translate complex technical solutions and insights into clear, business-friendly language for colleagues and clients.
•    Display a passion for continual self-improvement and innovative problem-solving for clients.
•    Collaborate with the Financial Risk & Regulatory team, providing mentorship to new team members.
•    Maintain open communication to understand expectations and identify areas for improvement for both personal and team development.

 

About the team
People working across a wide range of industries and the public sector, our team advise, implement and deliver analytics to support decision-making. Our team is an inclusive, dynamic and growing team committed to driving innovation, delivering client outcomes and making an impact that matters. The strength of our team lies in the diversity of the background and skillset of each member, fostered in a collaborative environment.

 

Enough about us, let’s talk about you.

You must have the following skills / experience:

•    A strong foundation in Python and SQL
•    Hands-on experience with data science libraries such as Pandas, NumPy, SciPy for data manipulation, Scikit-learn for traditional ML models, and TensorFlow/ PyTorch for deep learning.
•    Experience in data engineering, working with SQL, PySpark, and ETL pipelines to process large datasets efficiently.
•    A data visualization mindset, using Power BI to create insightful dashboards with DAX and Power Query.
•    Strong stakeholder management skills, with the ability to communicate complex AI-driven insights to technical and non-technical audiences.

You may have the following skills / experience: 

•    Experience in building machine learning models and deploying them at scale.
•    Understanding of Generative AI, including LLM fine-tuning, embeddings, and prompt engineering using Hugging Face Transformers, LangChain, and vector databases.
•    Knowledge of Natural Language Processing (NLP) with libraries such as spaCy, NLTK, and transformers to develop text analytics, sentiment analysis, and entity recognition solutions.
•    Cloud expertise with AWS (S3, Lambda, SageMaker) and Azure (Databricks, AI Studio, Synapse Analytics) for scalable ML solutions.
•    Proficiency in GitHub version control, CI/CD pipelines, and collaborative ML development.

 

Why Deloitte?  

At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.    

 

We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.   

 

We prioritise flexibility and choice. At Deloitte, you get trust on Day 1. We know our people get their best work done when they’re in control of where and how they work, designing their work week around their client, team and personal commitments.  

 

We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.  

 

Next Steps 

Sound like the sort of role for you? Apply now, we'd love to hear from you! #LI-Hybrid

 

 

 

By applying for this job, you’ll be assessed against the Deloitte Talent Standards. We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally. The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure CI/CD Consulting Databricks Data pipelines Data visualization Deep Learning Engineering ETL Feature engineering Generative AI GitHub Lambda LangChain LLMs Machine Learning ML models NLP NLTK NumPy Pandas Pipelines Power BI Prompt engineering PySpark Python PyTorch SageMaker Scikit-learn SciPy spaCy SQL TensorFlow Transformers

Perks/benefits: Career development Equity / stock options Flex hours Parental leave Team events

Region: Asia/Pacific
Country: Australia

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