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23/07 Martin Chakpram
Head - Recruitment at People Realm Recruitment Services

Views:694 Applications:204 Rec. Actions:Recruiter Actions:202

Specialist/Analyst - Machine Learning/Artificial Intelligence - Securities Market - Financial Services Firm (1-3 yrs)

Bangalore Job Code: 835919

Client : Global Financial Services Firm

Division : FICC Trading Desk

Role : Analyst

Why AI & ML in Trading Business :

Trading as well as many other business in the world requires transformation with AI and Machine Learning technology. FICC Trading is not just the processing of transactions but more about strategic portfolio management based on deep and quantitative analysis to better serve the clients, where advanced AL/ML technology should be able to provide intelligent solution rather than mere automation. Implementation of the latest AL/ML technology inside trading desk should have clear advantage in real time OODA loop and the result of achievement is directly measurable by the revenues generated in the portfolio.

We are looking for a BE/B.Tech Grad with a Master degree ( Finance or other quantitative fields ), with strong working experience in developing and deployment of ML/AI models / Algos preferably in the Capital Market / Financial Markets space.

As a key driver of new initiative to apply Artificial Intelligence & Machine Learning technology to the Trading business, you will collaborate closely with traders, desk quants and Engineers to design and implement strategies to support various trading approach.

Your day-to-day may include but not limited to :

i) Discussing and implementing new analysis on trading strategies with machine learning.

ii) Analysis on market data and flow, reviewing and enhancing existing analysis and trading logistics to manage risk across asset classes and communicating with various control or operational function stakeholders.

Who We Look For :

1. Strong AI and Machine Learning skills and passion to apply them to the Trading business

2. Willingness to confront relentless financial engineering challenges with strong technical skills and quantitative ability

3. Experience and faculty to manage projects collaboratively

4. Capacity to lead interactive technical discussion with various non-specialists

5. Strong programming skills in Python / R to develop AI/ML Models and Algos.

Women-friendly workplace:

Maternity and Paternity Benefits

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