The Company is a British multinational banking and financial services company headquartered in London. It is a universal bank with operations in retail, wholesale and investment banking, as well as wealth management, mortgage lending and credit cards. It has operations in over 50 countries and territories and has around 48 million customers.
Itis organised into four core businesses: Personal & Corporate (Personal Banking, Corporate Banking, Wealth & Investment Management), its card, Investment Banking and Africa.
Key Accountabilities and Skills required:
This section should include:
o Key specific accountabilities.
o Sophisticated client analysis: researching for alpha, interest and information in client flows. The candidate would be expected to go analyze historical data sets and figure out trends and factors that are driving the flows.
o Market Making Activity: Assist in creation of pricing and hedging algorithms as part of company's market making activity.
o Market intelligence: Researching micro and macro trends, outliers, event detection and creation of quant colour.
o Product Analysis: researching pattern in trading activities under different market and product settings to improve client experience
o Centralized modelling library for other groups and data scientists
Additionally, the candidate will be required to:
o Hold regular training sessions for the models created and released
o Stay in front of current research in machine learning
o Create white papers and content that are relevant for the firm’s clients
o Stakeholder management and leadership.
o The candidate would have to interact with counterparts in New York. The candidate would have to work with the regional teams to understand the requirements, work with them to develop the new products and work on enhancements.
o Decision making and problem solving.
o Strong analytical skills – The candidate will have to work with regional teams to understand the requirements. The candidate will have to come up with solutions to implement those requirements. They will have to discuss any new changes with the teams in New York
o The candidate will have to work on their own to come up with solutions for the desk.
o Risk and Control: All company colleagues have to ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Policies and Policy Standards of the company .
Your Skills and Qualifications will include
o Strong co-ordination skills to manage multiple tasks
o Excellent communication skills (oral/written) as the candidate would have to work with Onshore teams globally.
o Aptitude for self learning – Should be able to demonstrate a self starting attitude
o Proactive in nature. Should be able to take decisions and support those.
o Team player
o Bachelor’s degree
o 3+ years of experience Relevant work experience in implementing machine learning models in real life situations
o 3+ years of demonstrated experience in analyzing large data sets available in systems such as Hadoop or KDB
o 2+ years of experience in working with statistical software such as R & MATLAB
o 2+ years of experience in working with SQL, Python, Scala and JAVA
o PhD or Master's degree in Computer Science, software engineering, machine learning, data mining or big data analytics
o Superior verbal and written communication skills