The jobholder will continually reassess the operational risks associated with the role and inherent in the business, taking account of changing economic or market conditions, legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of new technology.

The jobholder will also adhere to and be able to demonstrate adherence to internal controls. This will be achieved by adherence to all relevant procedures, keeping appropriate records and, where appropriate, by the timely implementation of internal and external audit points, including issues raised by external regulators.

The jobholder will implement the Group compliance policy by containing compliance risk in liaison with Global Head of Compliance, Global Compliance Officer, Area Compliance Officer or Local Compliance Officer. The term - compliance- embraces all relevant financial services laws, rules and codes with which the business has to comply.

This will be achieved by adhering to all relevant processes/procedures and by liaising with Compliance department about new business initiatives at the earliest opportunity. Also and when applicable, by ensuring adequate resources are in place and training is provided, fostering a compliance culture and optimising relations with regulators.

Qualifications:

What you will need to succeed in the role:

- Minimum 2 years of experience of using statistical concepts and (or) machine learning models to solve complex business problems

- At least Master's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Management or other quantitative fields of study

- Proficiency in SAS / R, Python, JavaScript and MS Office tools like Excel & PowerPoint

- Exposure to building statistical and (or) ML models for solving diverse business challenges and creating significant business value

- Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift, Azure etc. would be a plus but not mandatory

- Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends

- Strong business acumen with out-of-the box thinking to drive improved business performance

- Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas

What are the Additional Information Needed:

- Exposure in one or more in Computer Vision, Word Embedding OCR, Deep Learning and Transformer algorithms is a plus

- Hands on experience in Tensor flow, Keras or PyTorch will be a plus

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