Given that both current co-founders have limited technical skills, our ideal CTO is willing to take responsibility for building and managing the technology behind Sagefund.
*We don’t expect our CTO to have a background in finance or investing, but they should be curious to learn about it!*
In order to launch our MVP, we need to build the following:
An asset selection algorithm, based on modern economic principles. The algorithm should be able to scan all available ETFs and filter them down. The end result should be a set of ~12 different portfolios (of 4-8 ETF products), designed for different user needs.
The ideal candidate will have a good grasp of maths and statistics, and will be capable of translating financial and economic equations into code.
On the website, users will express their particular investment needs, and our system must be able to match those preferences with one of our portfolios.
We need a safe backend system that is connected to the API of a broker partner, in order to execute the sales and purchases of our customer’s portfolios.
During regular time-intervals, we need an algorithm that automatically rebalances our customer’s portfolios.
Support us in applying for funding and grants to further expand the Sagefund team.
Flesh out our website, to include user-areas, which depict the current state of their investments, and give them the option to buy/sell more financial products.
We don’t expect our CTO to be able to build all of this themselves, but they should be excited to learn or outsource different parts of the project.
From a personal perspective, we are looking for someone whom is genuinely interested in the field of investing (modern portfolio theory in particular) and will find it exciting to work on this project!
11/10/2019
Full time
Given that both current co-founders have limited technical skills, our ideal CTO is willing to take responsibility for building and managing the technology behind Sagefund.
*We don’t expect our CTO to have a background in finance or investing, but they should be curious to learn about it!*
In order to launch our MVP, we need to build the following:
An asset selection algorithm, based on modern economic principles. The algorithm should be able to scan all available ETFs and filter them down. The end result should be a set of ~12 different portfolios (of 4-8 ETF products), designed for different user needs.
The ideal candidate will have a good grasp of maths and statistics, and will be capable of translating financial and economic equations into code.
On the website, users will express their particular investment needs, and our system must be able to match those preferences with one of our portfolios.
We need a safe backend system that is connected to the API of a broker partner, in order to execute the sales and purchases of our customer’s portfolios.
During regular time-intervals, we need an algorithm that automatically rebalances our customer’s portfolios.
Support us in applying for funding and grants to further expand the Sagefund team.
Flesh out our website, to include user-areas, which depict the current state of their investments, and give them the option to buy/sell more financial products.
We don’t expect our CTO to be able to build all of this themselves, but they should be excited to learn or outsource different parts of the project.
From a personal perspective, we are looking for someone whom is genuinely interested in the field of investing (modern portfolio theory in particular) and will find it exciting to work on this project!
University of Oxford, Nuffield Department of Medicine
Oxford, UK
Reporting to the PI Research Informatics (Dr Brian Marsden), the successful candidate will be responsible for devising and managing the delivery of novel data capture, curation and sharing solutions by the SGC Oxford Research Informatics team from target through protein production, structure determination and chemical biology to support our international programmes.
You will have a PhD in a relevant scientific subject, work directly with senior scientists and directors across the SGC’s six sites around the world to identify and deliver solutions at scale whilst also engaging with our industrial partners and collaborators to ensure that the SGC is able to capture the broad range of data to enable open-access sharing of SGC outputs to the scientific community at large.
You will be responsible for direct interactions with strategic partners including ChEMBL, OpenTargets, Genomics England as well as development of new technologies with our collaborators at MolSoft LLC. As such, an ability to think creatively and communicate clearly with both developers and scientists at all levels along with experience of managing a diverse team will be important.
This position is full-time on a fixed-term contract until 30 June 2022 funded by the Department.
The SGC (Structural Genomics Consortium) catalyses research in new areas of Human biology by explicitly focusing on less well-studied areas of the Human genome. We are looking for an individual with a proven track record of managing and developing informatics solutions to support the SGC’s work and our future plans for significantly scaling-up discovery of chemical probes, chemogenomic libraries and target-enabling packages ( www.thesgc.org/tep ). This position presents a unique opportunity for candidates who possess significant coding and database experience combined with a strong understanding of early-stage drug discovery who want to play a direct role in driving the success of a highly-regarded international organisation in catalysing the discovery of new Human biology and new drug targets.
Applications for this vacancy are to be made online, and as part of the application you will be required to upload a CV and supporting statement. Please quote reference 143500 on all correspondence.
Only applications received by 12.00 noon on Monday 11 November 2019 will be considered.
14/10/2019
Full time
Reporting to the PI Research Informatics (Dr Brian Marsden), the successful candidate will be responsible for devising and managing the delivery of novel data capture, curation and sharing solutions by the SGC Oxford Research Informatics team from target through protein production, structure determination and chemical biology to support our international programmes.
You will have a PhD in a relevant scientific subject, work directly with senior scientists and directors across the SGC’s six sites around the world to identify and deliver solutions at scale whilst also engaging with our industrial partners and collaborators to ensure that the SGC is able to capture the broad range of data to enable open-access sharing of SGC outputs to the scientific community at large.
You will be responsible for direct interactions with strategic partners including ChEMBL, OpenTargets, Genomics England as well as development of new technologies with our collaborators at MolSoft LLC. As such, an ability to think creatively and communicate clearly with both developers and scientists at all levels along with experience of managing a diverse team will be important.
This position is full-time on a fixed-term contract until 30 June 2022 funded by the Department.
The SGC (Structural Genomics Consortium) catalyses research in new areas of Human biology by explicitly focusing on less well-studied areas of the Human genome. We are looking for an individual with a proven track record of managing and developing informatics solutions to support the SGC’s work and our future plans for significantly scaling-up discovery of chemical probes, chemogenomic libraries and target-enabling packages ( www.thesgc.org/tep ). This position presents a unique opportunity for candidates who possess significant coding and database experience combined with a strong understanding of early-stage drug discovery who want to play a direct role in driving the success of a highly-regarded international organisation in catalysing the discovery of new Human biology and new drug targets.
Applications for this vacancy are to be made online, and as part of the application you will be required to upload a CV and supporting statement. Please quote reference 143500 on all correspondence.
Only applications received by 12.00 noon on Monday 11 November 2019 will be considered.
