**_Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you. _**
• *Working Arrangement**
Hybrid
• *The opportunity**
This position is accountable for performing statistical / machine learning model validation, assessing model’s risks and implementing controls to mitigate identified risks.
• *Responsibilities**:
- Takes a leading role in the model validation in Group Advanced Analytics by developing the model validation and risk management framework
- Reviews documentation, meets with the business, model owner to ensure understanding of the business problem
- Assesses the data for model development, checks assumptions, inputs to the model and does in-depth analysis to identify potential issues,
- Independently develops benchmark model to assess whether submitted model behaviour is consistent with the documented specifications and intended use
- Compares validation results with model developer results for replicability.
- Ensure the transparency and interpretability of the models by keeping current with new research and methodologies that can explain black box models
- Ensure that proper and adequate model documentation (using model inventory template) and model risk mitigation processes are in place in order to appropriately assess and mitigate model risk.
- Keeps informed of current practices and research in statistical and machine learning modelling techniques and risk management by reading academic literature, attending academic and practitioner workshops and conferences.
- Provides technical advice and guidance to assigned business/group on implementation of the model validation framework, and resolution of model risk issues.
- Develops and maintains in-depth knowledge of business and related model validation/risk management requirements and regulatory guidelines
- Builds effective relationships with internal/external stakeholders.
- Ensures that business units understand that the model submission process involves preparing adequate model documentation to enable an appropriate model review
- Participate in ad-hoc projects
• *Measure & communicate analytic results & impact of analytics models**
- Implement measurement & documentation framework against all project work
- Generate insights in such a way that the businesses can clearly understand the quantifiable value. Enable the business to make clear trade-offs between and among choices, with a reasonable view into the most likely outcomes of each.
- Turn statistical and computational analysis into user-friendly graphs, charts, and animation. Enable those who aren’t professional data analysts to effectively interpret data. Ability to communicate results and educate others through reports and presentations
- Provide thought leadership around analytics methodology, tools, and measurement
• *What motivates you?**
- You obsess about customers, listen, engage and act for their benefit.
- You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
- You thrive in teams and enjoy getting things done together.
- You take ownership and build solutions, focusing on what matters.
- You do what is right, work with integrity and speak up.
- You share your humanity, helping us build a diverse and inclusive work environment for everyone.
• *What we are looking for**
- Advanced degree in Statistics, Math, Comp Sci, Engineering or other related discipline (post-grad preferred)
- Minimum of 5 years' experience specifically in building statistical/ machine learning models, data analysis and data mining
- Experience with model risk management practices, model life cycle.
- In-depth knowledge & experience with risk policy frameworks; quality control / testing frameworks.
- Experience with Natural Language Processing, unstructured data, use of APIs
- Proficient in either Python, R, SAS, SQL with working knowledge of the others
- Demonstrated data transformation & manipulation experience
- Track record of delivering innovative analytical insights to lines of businesses
- Model validation experience is preferred
- Experience with Big Data platforms
- Experience with GitLab
- Strong commitment to organizational success and team work
- Adaptable and open to change with strong collaboration and communication skills
- Insurance/Financial Services experience desired
• *What can we offer you?**
- A competitive salary and benefits packages.
- A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
- A focus on growing your career path with us.
- Flexible work policies and strong work-life balance.
- Professional development and leadership opportunities.
• *Our commitment to you**
- Values-first
