We are looking for an experienced specialist in Quantitive research to join our long-term project (part-time, 15 h/week)

About the project
Our customer is managing a portfolio that consists of several financial instruments like equities and ETFs. They are using baseline approaches like risk parity for portfolio construction and aim to develop a more sophisticated toolkit to target higher Sharpe and better drawdowns and time-under-water metrics. Also, we will need to develop a pipeline to launch experiments and research hypotheses on a continuous basis.

Key results
- R&D pipeline for experiments
- Investment management models with API
- Higher Sharpe and lower drawdowns and time-under-water on the backtests

Challenges & responsibilities
- applying a wide range of ML and financial models in quantitative finance, portfolio management, and time series analysis
- prioritizing the optimal technology and algorithms set in a particular project
- research papers analysis
- hands-on implementation of the crucial solution pieces
- supporting and mentoring data science and engineering teams

Skills
- research and paper analysis
- explanation and presentation
- machine learning and engineering
- advanced English
- documentation development

Knowledge
- in-depth machine learning knowledge in the Finance industry (portfolio management, time series analysis, risk management, financial machine learning)
- state of the art business and technology trends

Experience
- MSc / PhD degree in the Mathematics / Computer Science / Statistics / Finance
- machine-learning solutions delivery in fintech, finance, and investment management domain (5+ years)
- publications and public speeches track record

We Offer
- Scientific or engineering challenges
- Work with disruptive deep-tech startups
- Work with the rock stars (senior-level engineers, Ph.D.)
- Meaningful social and environmental projects
- Two options for our cooperation, and people have the opportunity to make their own choice of how they engage in work-related projects and tasks.
- Transparent, professional growth plan depending on your impact
- Remote work from any location
- Flexible working hours
- Unpaid unlimited personal time off
- Regular Team Buildings & company-wide team events

Terms & conditions
Rate: $50-75 per hour
Allocation: 0.375 FTE (15h/week)

About Neurons Lab

Who we are? Neurons Lab is a cloud network of scientists, engineers, and developers passionate about revolutionizing businesses’ future with AI and machine learning technologies.

When we founded it, we had an essential idea to marry two worlds. On the clients’ side — to help socially responsible organizations to boost their performance and achieve a strategic advantage by tailor-made ML solutions. On the consultants’ side — to give an opportunity for the bright individuals to work as independent experts that enjoy life and work freedom alongside taking responsibility for important challenges.

We focus on the two major industries — healthcare and industrial IoT. Through the first one, we make a positive impact on human lives, wellbeing, and longevity. Through the second, we help industrial companies to be more efficient, reduce energy consumption, and cut the emissions that harm our environment.

Essential moments about us:
— “self-management” and “responsible” — we value your freedom and lifestyle and don’t put unnecessary limitations on the work process
— focus on specific industries through an AI lens — we value efforts put in the deep research and experience and want you to keep pursuing this without being distracted on the “full-stack” requirements.

Do you have any questions yet?? You can find more info about us after jumping to the link below: neurons-lab.com And also, feel free to contact our Global Talent Manager and ask her any questions!

Company website:
https://neurons-lab.com/

DOU company page:
https://jobs.dou.ua/companies/neurons-lab/

Job posted on 21 June 2022
132 views    8 applications


To apply for this and other jobs on Djinni login or signup.
  • home_work Full Remote
  • shopping_basket Product
  • timelapse Part-time