Quant Researcher, Vice President

The successful candidate will be able to conduct quantitative research, focusing on FI, Rates/FX, Equity globally catering to the Fundamental Fixed Income and Global Allocation Funds. 

Responsibilities include data gathering, research/analysis, Idea generation, model implementation and back-testing. You are a self-starter who can combine sound financial insights, statistical learning, ML/AI techniques to explore, analyse, and harness a large variety of datasets in order to build models which will advise investment strategies.

You will work alongside the investment teams (portfolio managers and researchers) to refine and implement innovative investment strategies!

About you:

7+ years of experience in Solution Architecture or Lead Software Engineering position with at least 2 years hands on with AI/ML.

• Develop progressive AI/ML solutions to address business requirements and challenges.

• Understanding of and research groundbreaking academic developments in AI/ML with NLP/NLU applications in Finance.

• Conceptualize, design, build and develop solution algorithms bringing to bear previous work experience with Generative AI.

• Get along with AI Champions within FFI/GA to collect, synthesize, and propose requirements and build effective analytics/text mining roadmap. Conduct look-ahead investment research with focus on supplementing and strengthening the analytics agenda with newer tools and techniques.

• Lead applied research on a wide array of text analytics and machine learning projects.

• Work with internal engineering teams to integrate and transform these algorithms into production quality applications.

• Dedicated and results oriented player/mentor with ability to collaborate optimally across geographies/time zones.

Would be considered as an advantage10+ years of hands-on experience and project management experience in data science and machine learning, with a track record of delivering impactful and solutions in a corporate setting. 

• Have an entrepreneurial outlook and be willing to take chances to drive innovation. 

• Lead AI Architect on all technical aspects of solution delivery, including defining the target state architecture of data science/AI solutions. 

• Lead the learning and implementing brand-new AI solutions using the gained shown experience to set standards. 

• Ability to define target state technology architecture and roadmaps.

• Work with internal teams, such as engineering and product management, to develop and implement AI models that improve user experiences.

• Drive project and program results, ensuring adherence to timelines and quality standards while handling complexities and changing requirements.

• Hard-working and results oriented manager with ability to collaborate effectively across geographies/time zones.