Quant Agricultural Commodities Researcher - Hedge Fund - UK
- Employer
- Octavius Finance
- Location
- London, United Kingdom
- Salary
- Competitive
- Closing date
- Oct 14, 2022
View more
- Job Function
- Hedge Funds
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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We are currently working with one of the world's oldest multi-billion-dollar, multi-strategy hedge funds. They are currently looking to add a mid-level quant researcher who can specialize in agricultural commodities to a team within the UK.
We are looking for a candidate who can research, productionalize and manage fundamentally driven systematic strategies that trade agricultural commodities. The candidate will be part of a team trading systematic commodity-focussed strategies. Other responsibilities would include monitoring news flow and data releases in agricultural markets and keeping the portfolio manager informed on outlook with respect to the portfolio's positions. There would also be a need to cover the whole cross commodity strategy when the portfolio manager is away. This role would be ideal for someone with a fundamental background who is looking to move into systematic research and trading.
Requirements:
The ideal candidate will have 2+ years of experience as an ags analyst or strategist at a bank, trading house, fund or research provider. The bulk of their experience would be in the major grains and oilseed markets, with knowledge of softs and livestock markets a plus. They will have used Python or a similar language to download, clean and analyse data, and built statistical models to forecast standard supply and demand components such as yields, acreage, exports etc.
•Intermediate Python or significant (expert) experience in another languages (ability to learn Python quickly).
•Familiarity with statistical concepts and modelling such as linear regression, variable selection, Normal and non-Normal distributions.
•Deep understanding of agricultural markets with hands-on experience building supply, demand and pricing models.
If you think you could be a good fit for this role, please send your CV in WORD format to quantresearch@octaviusfinance.com
We are looking for a candidate who can research, productionalize and manage fundamentally driven systematic strategies that trade agricultural commodities. The candidate will be part of a team trading systematic commodity-focussed strategies. Other responsibilities would include monitoring news flow and data releases in agricultural markets and keeping the portfolio manager informed on outlook with respect to the portfolio's positions. There would also be a need to cover the whole cross commodity strategy when the portfolio manager is away. This role would be ideal for someone with a fundamental background who is looking to move into systematic research and trading.
Requirements:
The ideal candidate will have 2+ years of experience as an ags analyst or strategist at a bank, trading house, fund or research provider. The bulk of their experience would be in the major grains and oilseed markets, with knowledge of softs and livestock markets a plus. They will have used Python or a similar language to download, clean and analyse data, and built statistical models to forecast standard supply and demand components such as yields, acreage, exports etc.
•Intermediate Python or significant (expert) experience in another languages (ability to learn Python quickly).
•Familiarity with statistical concepts and modelling such as linear regression, variable selection, Normal and non-Normal distributions.
•Deep understanding of agricultural markets with hands-on experience building supply, demand and pricing models.
If you think you could be a good fit for this role, please send your CV in WORD format to quantresearch@octaviusfinance.com
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