Manager Credit Risk Data

3 weeks ago

Sandton, South Africa Absa Bank Limited Full time

Empowering Africa’s tomorrow, together one story at a time.
- With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

Leverage deep data science expertise in advanced statistics, data wrangling, data mining, data analysis, feature engineering &predictive modeling, storytelling, distributed computing & data visualization, machine learning tools & data intuition to define, build, operationalize &continuously improve data solutions that deliver relevant, quality assured, accurate & commercially impactful data to the business.

Job Description

Data Science
- Participate in design thinking processes to determine & confirm hypotheses and priority questions / data challenges & related metrics to be solved for
- Translate business questions to be solved into data requirements & define a data solutions to deliver against these requirements
- Proactively partner with the data engineering team to refine the data requirements deliver raw data to Data Science teams for interpretation & analysis
- Design fit for purpose data interpretation & analysis approaches & create customized data models, algorithms, machine learning tools and recommendation engines to achieve the desired business outcomes
- Use advanced data science skills to mine & interpret data. These include but are not limited to: advanced statistics, data wrangling, data mining, data analysis, feature engineering & predictive modeling, distributed computing, machine learning tools & data intuition
- Analyze & interpret complex data sets
- Produce business insights and recommendations based on data analysis & modeling concluded & where relevant with knowledge and experience of e.g. Java, Scala, Python, Hadoop, Apache Spark & Kafka
- Use storytelling and data visualization techniques to maximize impact & deliver a user-friendly product to business
- Contribute to the consolidation of data solutions into viable end products (in the language of business) that can be leveraged on an ongoing basis e.g. dashboards, reports etc.
- Present data analysis (trends, insights, forecasts) & findings to business & show tangible business impact to be derived from the data science process
- Facilitate peer reviews & feedback on data solutions
- Refine data analysis based on business & peer reviews
- Contribute to the assessments of the effectiveness and accuracy of new data sources & data gathering techniques
- Promote data literacy with your business stakeholders by sharing best practices and showing tangible business impact & recommendations as a direct result of the data solutions provided
- Stay ahead of the curve on data science trends & leading practice data science tools and techniques & transition the organization to advanced methods for the continuous optimization of data

Data Management
- Review, update and maintain enterprise-wide policies, processes, standards, controls and practices for data in line with the Data Management Policy and RDDAR Policy.
- Communicate and guide proper governance and stewardship practices, policies, procedures, standards and the implementation thereof using existing or new toolsets.
- Quantify and measure enterprise Data Governance and Data Management adoption and adherence by the business; including suggesting and taking remedial action where required.
- Collaborate with Lead: Data Governance to plan specific projects, initiatives or pilots.
- Co-develop delivery plans specifying objectives, resourcing and scheduling.
- Identify risks and compile contingency plans to meeting deliverables.
- Co-direct the activities of resources to ensure initiatives progress according to the agreed schedule and within budget requirements.
- Organize and facilitate relevant Data Governance related meetings.
- Prepare status reports and keep stakeholders informed of Data Governance constraints and dependencies which may impact delivery.

Accountability: Risk & Governance
- Identify data risks and mitigate these (pre, during & post solution deployment / data delivery).
- Create business cases & solution specifications for various governance processes (if required).
- Contribute to risk, governance, compliance & broader regulatory processes as a data science expert (if & when required).

Accountability: People
- Coach & mentor other data scientists.
- Conduct peer reviews, testing, problem solving within and across the broader tea.

Education

Bachelor's Degrees and Advanced Diplomas: Business, Commerce and Management Studies (required)
- Absa Bank Limited reserves the right not to make an appointment to the post as advertised_

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