Job description
About the Role:
This is an exciting opportunity to apply your data and analytics skills in portfolio management and trading. We are looking for an Applied Data Scientist who wants to utilize their skills in financial markets. This is a great opportunity to become a portfolio manager and trader within our business where you will have the opportunity to utilise and develop your skills working with the Markets team at Brightwell on quantitative investment strategies, tactical and strategic trade ideas, and other portfolio activities. You will join a front-office team of portfolio managers and traders who will mentor you to develop your career and new skills.
You should be able to demonstrate some experience within data analysis and programming. This can be from work in the private sector or from academic research. Most importantly, you should have an academic background with a solid foundation in data analysis, statistics or econometrics. Applied data expertise is more important than experience in financial markets and portfolio management. We can teach and you will learn from your colleagues.
About the Team:
You will join a small team of portfolio managers and traders who truly work as one team. As a team we have a very wide skill set ranging from trading and portfolio management to quant skills and programming. You will have the opportunity to work with and learn from all of us. You will find an intellectually stimulating environment with smart and dedicated teammates.
Our firm is large in assets (£40bn+) but very lean. You will interact with senior investment managers and the CIO. You will also work with other functions, such as our IT, Operations and Data Management teams. You will find that you are not just a cog in the machine. You can influence our team but also other functions around you.
Key Requirements:
- Education: Master’s or higher with core exposure to econometrics, statistics, or data science
- Experience with Python and relevant modules
- Good scripting and programming skills
- Good applied statistical skills, for example econometrics, regression analysis, testing, or strong understanding of distributions and probabilities
- Pays attention to detail and is diligent
- Understanding of markets and derivatives would be an asset but is not a prerequisite
Your profile
- Exceptional analytics aptitude strengthened by a quantitative background from a leading university
- Demonstrable experience working with data in the private sector or academic research
- Understanding of or strong interest in systematic investment strategies and portfolio management
- Experience with portfolio construction, options or fixed income is a plus
- You are interested in learning and to go beyond your current comfort zone
About Brightwell:
Brightwell (formerly BT Pension Scheme Management / BT Pension Scheme Administration), is the primary service provider providing fiduciary management services, member services, operational and secretariat services to the £47bn BT Pension Scheme (BTPS), one of the largest private sector pension schemes in the UK with c.270,000 members www.btps.co.uk
We’re proud of everything we’ve delivered for BTPS over many years and believe that our deep experience provides us with a unique perspective on the challenges facing DB schemes.
By working with Brightwell, DB pension schemes have the opportunity to leverage Brightwell’s expertise, innovation and market leading technology to improve quality, value for money and outcomes for members.
We are committed to creating and maintaining a diverse and inclusive working environment where all employees can thrive, contribute and be themselves. As an equal opportunities employer we welcome applications from people of all backgrounds.
Job Type: Full-time
Benefits:
- Company pension
- Referral programme
- Work from home
Schedule:
- Monday to Friday
Supplemental pay types:
- Performance bonus
Ability to commute/relocate:
- London: reliably commute or plan to relocate before starting work (required)
Work Location: Hybrid remote in London
Reference ID: Portfolio Manager/Trader