Decision Science Manager, RCAS Analytics

Job description

Job description

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Decision Science Manager, RCAS Analytics.

Principal responsibilities

·  To support the Business by providing vital input for strategic planning by the senior management which enables effective decision making along with addressing unforeseen challenges.
·  The team leverages the best of data and analytics capabilities to enable smarter decisions and drive profitable growth.
·  The team supports various domains ranging from Regulatory, Operations, Procurement, Human Resources, and Financial Crime Risk. It provides support to various business groups and the job involves data analysis, model and strategy development & implementation, Business Intelligence, reporting and data management.
·  The team addresses range of business problems which cover areas of business growth, improving customer experience, limiting risk exposure, capital quantification, enhancing internal business processes etc.
·  Proactively identify key emerging compliance risks across all RC categories and interface appropriately with other RC teams and senior management.
·  To provide greater understanding of the potential impact and associated consequences / failings of significant new or emerging risks.
·  To provide innovative and effective solutions based on SME knowledge that assists the Business / Function.
·  Proposing, managing and tracking the resolution of subsequent risk management actions.  

Requirements

·  At least 3-4 of overall Industry experience
·  At least 3 years of hands-on analytics experience solving complex business problems using data.
·  Strong analytical skills with business analysis experience or equivalent. In-depth knowledge and understanding of financial-services/ banking-operations is a must.
·  Proficiency working in Python and other data science tools to perform data analysis.
·  Proficiency in visualization tools such as QlikSense/Tableau/PowerBI.
·  Proficiency in process documentation and version management and knowledge on tools like GitHub, JIRA etc.
·  Experience in AI / ML Space and Data Engineering skills – Building data pipelines using modern tools / libraries (Spark or similar) would be an added advantage.
·  Knowledge of application development using Python – Stream lit/Flask/Django would be an added advantage.
·  Experience in working with cloud technologies like GCP. Experience in AWS or Azure would be an added advantage. 
·  Familiarity with Dev-Ops tools like, Continuous Integration (CI)/ Continuous Development (CD) pipeline, Jenkins, Ansible, Docker, Kubernetes (containers) is good to have.
·  Familiarity with website development technologies like HTML, CSS, React JS, are good to have.

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

You’ll achieve more when you join HSBC.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.