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 organizations in the world, with operations in 62 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 realize their ambitions.
We are currently seeking an experienced professional to join our team in the role of Analyst: Business Consulting – Global Retail Banking
- Managing available resources such as hardware, data, and personnel so that deadlines are met.
- Analyzing the Machine Learning (ML) algorithms that could be used to solve a given problem and ranking them by their success probabilities.
- Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
- Defining validation strategies and establish a process to ensure acceptable data quality criteria are met.
- Supervising the data acquisition process if more data is needed and finding external datasets that could be used for training.
- Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market.
- Understand business issues and context, devise framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
- Manage analytics order book in consultation with Contact Centre Heads and Transformation Leads, assess skill / resource requirements, evaluate data and infrastructure requirements, track progress against plan and provide regular updates to Working Group.
- Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient, and effective manner.
- Support migration of new processes / boundary change of existing processes; manage hiring / attrition, cross-training, and transition to ensure business continuity.
Requirements
- B. Tech (Computer Science / Information Technology) or M. Tech / master’s degree / PhD in Computer Science / Mathematics / Statistics / Economics or other quantitative fields
- 5+ years of experience of managing Data Science projects with specializations in Deep Learning & Natural Language Processing (NLP)
- Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes.
- Ability to evaluate hardware selection for running Machine Learning (ML) models for optimal performance.
- Deep knowledge of math, probability, statistics, and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
- Deep analytical thinking with excellent problem-solving abilities
- Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
- Specialization / experience in Data Science (Artificial Intelligence / Machine Learning / Deep learning, Natural Language Processing, Big Data Analytics, Cloud Computing) is preferred.
- Ability to prioritize activities while working under pressure and balance interactions.
- Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region, and local standards.
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.
***Issued by HSBC Electronic Data Processing (India) Private LTD***