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Company Profile:
INVENIO is the fund management arm of Olam International Limited (Olam).
Olam is listed on the Singapore Stock Exchange and is a leading agri-business, operating from seed to shelf in 60+ countries, supplying food and industrial raw materials to over 25,000 customers worldwide.
Our team of 40,000+ employees has built a leadership position in many businesses including cocoa, coffee, cashew, rice and cotton.
INVENIO runs a hedge fund engaged in pure alpha long-short Systematic/ Quantitative Trading Strategies. It uses multi asset multi strategy approach to invest in the Global Managed Futures (CTA) and APAC Equity Market. Typical holding period for various strategies range from 2 days to 2 months.
Open Positions:
1. Portfolio Manager-Quantitative China Macro
Location: Singapore or Shanghai
Job description:
We are looking to recruit a Portfolio Manager to independently run the China Macro Portfolio using quantitative/systematic strategies.
Mandate of this role would be to generate absolute return by trading in China’s most-liquid futures and forward contracts across all major asset classes (Agri, industrial, energy, metals, equity indices and fixed income) on 4 exchanges and OTC trading venue in China. Ideal candidate should have live track record of more than 5 years with realised Sharpe of more than 1 in the China Macro space.
Candidates with intraday trading experience would be preferred.
Qualifications:
PhD (or exceptional MSc) in a quantitative field like econometrics, mathematics, physics, or statistics
Strong programming skills in Python, Matlab and SQL etc
Ability to run the desk as an independent PM and manage the entire life cycle from date transformation, strategy development, portfolio construction and trade execution
5-10 years of China Macro trading experience as a Portfolio Manager in a hedge fund or proprietary trading environment with a realised Sharpe of more than 1
Candidates without the live track record would not be considered
2. Freight Analyst & Programmer
Location: Shanghai
The role:
The Freight Research team contributes to the development of quantitative and fundamental analysis to support primarily our dry bulk freight trading desks, which are a central part of the Olam Grains business.
Responsibility:
Data engineer/data analyst profile available
Great opportunity for a junior profile to join a leading international commodities trading house
Support the freight trading team in building research using analytical tools and in-house software
The Successful Applicant:
Fluent in English as the team is working from multiple locations around the globe.
Master's degree in data science, Computer Science, or Statistics.
Proven proficiency in Excel and VBA with the ability to learn other analytic tools.
Excellent programming skills with Python and the PyData stack (numpy, pandas, scipy, etc).
Experience in SQL, understanding of database technologies (experience in cloud computing preferably AWS a plus).
At least 1 first successful professional experience in Data Science, Computer Science, or Statistics field.
l Proven analytic skills, including data mining, evaluation, analysis, and visualization.
Please send your CV to:
[email protected]
INVENIO is the fund management arm of Olam International Limited (Olam).
Olam is listed on the Singapore Stock Exchange and is a leading agri-business, operating from seed to shelf in 60+ countries, supplying food and industrial raw materials to over 25,000 customers worldwide.
Our team of 40,000+ employees has built a leadership position in many businesses including cocoa, coffee, cashew, rice and cotton.
INVENIO runs a hedge fund engaged in pure alpha long-short Systematic/ Quantitative Trading Strategies. It uses multi asset multi strategy approach to invest in the Global Managed Futures (CTA) and APAC Equity Market. Typical holding period for various strategies range from 2 days to 2 months.
Open Positions:
1. Portfolio Manager-Quantitative China Macro
Location: Singapore or Shanghai
Job description:
We are looking to recruit a Portfolio Manager to independently run the China Macro Portfolio using quantitative/systematic strategies.
Mandate of this role would be to generate absolute return by trading in China’s most-liquid futures and forward contracts across all major asset classes (Agri, industrial, energy, metals, equity indices and fixed income) on 4 exchanges and OTC trading venue in China. Ideal candidate should have live track record of more than 5 years with realised Sharpe of more than 1 in the China Macro space.
Candidates with intraday trading experience would be preferred.
Qualifications:
PhD (or exceptional MSc) in a quantitative field like econometrics, mathematics, physics, or statistics
Strong programming skills in Python, Matlab and SQL etc
Ability to run the desk as an independent PM and manage the entire life cycle from date transformation, strategy development, portfolio construction and trade execution
5-10 years of China Macro trading experience as a Portfolio Manager in a hedge fund or proprietary trading environment with a realised Sharpe of more than 1
Candidates without the live track record would not be considered
2. Freight Analyst & Programmer
Location: Shanghai
The role:
The Freight Research team contributes to the development of quantitative and fundamental analysis to support primarily our dry bulk freight trading desks, which are a central part of the Olam Grains business.
Responsibility:
Data engineer/data analyst profile available
Great opportunity for a junior profile to join a leading international commodities trading house
Support the freight trading team in building research using analytical tools and in-house software
The Successful Applicant:
Fluent in English as the team is working from multiple locations around the globe.
Master's degree in data science, Computer Science, or Statistics.
Proven proficiency in Excel and VBA with the ability to learn other analytic tools.
Excellent programming skills with Python and the PyData stack (numpy, pandas, scipy, etc).
Experience in SQL, understanding of database technologies (experience in cloud computing preferably AWS a plus).
At least 1 first successful professional experience in Data Science, Computer Science, or Statistics field.
l Proven analytic skills, including data mining, evaluation, analysis, and visualization.
Please send your CV to:
[email protected]
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