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Analytics manager - credit risk

Swansea (NSW)
Hays
Posted: 5 June
Offer description

6 days ago Be among the first 25 applicants


Recruitment Manager at Hays I NSW Data Analytics, Digital and Software Development

Hays is working with a leading bank for an Analytics Manager - Credit Risk. You will be working as part of the future scale safely and efficiently by establishing the best in class risk management framework leading the adoption of automation and Artificial Intelligence (AI).

As part of a fast-paced and high performing team, you will be spearheading the innovative use of data analytics to provide actionable portfolio insights to drive optimized credit risk strategies and credit risk appetite settings. You will deliver on strategic initiatives that are critical to enabling the growth across the Bank including credit automation, process simplification and building out best in class data assets.

Some daily tasks below:

* Work collaboratively in cross-functional scrums with other Data, Product and Risk teams to deliver on key strategic initiatives and transformational projects
* Leverage data-driven insights and identify emerging risks and issues to improve decision making, enhance efficiency on portfolio oversight and enable proactive risk strategies.
* Lead the management, review and simplification of credit risk policies and strategies, using a data driven approach to generate insights and identify emerging risks to make recommendations

What you need to succeed

* Strong analytics background with 5+ years’ experience in Risk or Insight Analytics
* Strong problem solving skills - the ability to understand complex problems and take a structured approach using data driven insights to solve them
* Demonstrated experience in writing complex SQL queries (e.g. extraction, manipulation, validation) and proficient in R and Python
* Experience building interactive dashboards using Tableau and/or R Shiny.
* Degree in relevant discipline (qualification in Actuarial Studies, Economics, Finance, Statistics, Mathematics, or Sciences preferred)

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.


Seniority level

Mid-Senior level


Employment type

Full-time


Job function

Information Technology


Industries

Banking

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