Manager - Decision Sciences - BFS

KPIs : 

The role will drive a transformational impact on our customer interactions; leading to: 

- Front line & Back office Staff productivity gains = Cost Saves (80%) & Cost avoidance (20%)

- Enhanced customer service experience = Lower volumes of processing related complaints

Stakeholders : 

- Build strong relationships, adopting a joined up approach to execute at pace with minimum conflict.

Stakeholders include, but not limited to the following:

- Global Operations, Service delivery & Controls team

- Global Digital team including Cross-Functional Team Leads for DaaC, Sales & Originations, Banking & Servicing, VADM and Wealth

- Market leadership teams in priority markets

- Global Retail Products team

- Weath Management product/proposition teams

- Customer Propositions team

- Finance, Risk, Compliance, IT Security

HDS/HOST leadership:

Leadership & Teamwork:

- Demonstrate capabilities to drive analytical work by aspiring for deploying best-in-class techniques, alongside mobilizing and motivating junior team mates to do the same.

- Demonstrate ability to collaborate and work with diverse set of colleagues across geographies and across teams both within and outside Analytics.

- Ensure all analytical activities yield measurable benefits via tracking

Skills/Experience Required:

- 4+ years of relevant experience in data sciences; especially in developing Staff or Customer facing apps which utilize & rely on unstructured & structured data treatments (laser sharp knowledge of Computer vision & NLU technologies); Deep learning models & Server/ Learner GUIs.

- Must have expertise in Python/R and strong knowledge of different available packages in above mentioned subjects OR outlook/ enthusiasm/ ability to custom built the packages themselves.

- Experience in working on cloud led deployments will be preferred but not a necessity; certified GCP ML engineering will be a strong advantage.

- Enthusiasm for proactively seeking, exploring and developing use cases for new data and machine learning services; industry spectrum knowledge

- Strong problem solving and business translation skills alongside excellent abilities at narration and storytelling to engage stakeholders. Excellent written and verbal communication skills. Need to demonstrate ability to present technical concepts/solutions in simpler terms to business.

- Working ability on MS-Office suite of softwares.

- Post-graduation in Quantitative fields such as Statistics, Economics, Mathematics, Data Science or Engineering disciplines.

- In nutshell, a focused ML disciplinary expert and enthusiast who is willing to view this role as an investment into transforming one of the worlds- largest, complex financial institutions operations through data & machine learning services. A combination of visionary entrepreneurship & expertise.