Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
About the role
- Contribute to data science projects ensuring scientific integrity of work products in assigned business areas
- Conduct exploratory data analysis to obtain insights using analytical methods and statistical techniques
- Solve data issues to provide advice on underwriting policies and to support decision-making and improve operational efficiency
- Provide subject matter guidance to build and deploy models, and analyse model performance
- Collaborate with other analytics team members to size analytical opportunities and create delivery plans for positive commercial returns
- Provide input on analytical models to drive fraud identification, recoveries, renewals, and profitable growth
- Assist in developing commercial propositions using analytics within insurance core functions
- Develop knowledge of new feature sets and explore machine learning algorithms for extracting new features
- Serve as a modelling and data science partner for specific business areas to enhance work products' scientific integrity
Requirements
- Some relevant work experience
- Experience in producing insights from large datasets using R, Python, Spark (preferred)
- Collaborative programming project experience (preferred)
- Comfortable working in a Linux environment (preferred)
- Knowledge of Computer Science Fundamentals, Probability and Statistics, Data Modelling, Machine Learning Algorithms, Software Engineering
- Tertiary Degree or equivalent combination of education and work experience (necessary)
- Postgraduate Degree preferred
- Degree qualified in econometrics, mathematics, statistics or related discipline (preferred)
- Must be authorized to work in the United States on a full-time basis without the need for current or future sponsorship
- Skills: Analytical Thinking, Communication, Critical Thinking, Data Analytics, Data Modeling, Data Science, Data Visualization, Financial Products, Intentional collaboration, Machine Learning, Managing performance, Research Analysis, Risk Management, Stakeholder Management, Statistical Models
Benefits
- Hybrid Working – a mix of working from home and in the office
- 22 weeks of paid leave for family growth, with 12 weeks available to all parents on a gender-equal basis
- Competitive 401(k) program with company match up to 8%
- Well-being program including holistic wellbeing coaching, gym membership, confidential counselling, financial and legal advice
- Tuition Reimbursement for professional certifications, and continuing education
- Eligibility for QBE’s annual discretionary bonus plan based on business and individual performance
- Employee Network and Community and opportunities to give back to the community
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