At a Glance
- Tasks: Lead cutting-edge research in AI and machine learning for finance.
- Company: Join Voleon, a pioneering tech firm transforming investment management with AI.
- Benefits: Enjoy a healthy work-life balance, remote work options, and competitive compensation.
- Why this job: Make a real impact on financial markets while collaborating with top experts in the field.
- Qualifications: 5-10+ years of experience in research, Ph.D. coursework required, strong coding skills preferred.
- Other info: Relocation support available; equal opportunity employer with a focus on diversity.
The predicted salary is between 43200 - 72000 £ per year.
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillionādollar asset manager, and we have ambitious goals for the future.
Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.
As a Senior Member of Research Staff, you will work at the forefront of modern statistical machine learning leading key projects focused on enduring challenges of financial market prediction and portfolio optimization. Your research colleagues have collectively published hundreds of academic articles in topātier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded by two leading scientists Voleon supports a culture of curiosity and creativity. We do not silo our teams, and you will enjoy a healthy workālife balance while tackling hard problems.
The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we\āve spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. Your team will work with a complex and diverse array of datasets to implement and rapidly iterate on predictive models. Despite the complexity of these problems, market returns provide immediate and unambiguous outcome data for measuring success.
Your team won\āt just conduct research, they\āll apply it on a daily basis across the entire life cycle of applied research problems. Your work will span from overseeing projects focused on basic research to productizing solutions and validating their efficacy in live trading. This role is a means to make a difference: you will help direct billions of dollars in trades daily while making an enduring impact on our field.
*** Relocation and work visa eligibility for qualified candidates ***
Responsibilities
Demonstrate strategic vision and perspective to oversee work that affects one or more complex systems and missionācritical areas
Complete largeāscope, highly complex projects resulting in noteworthy improvements to product performance and risk management
Develop a rich understanding of Voleon\ās domainand methodologies
Prepare and analyze new datasets to assess their predictive efficacy
Develop, validate, and implement new models into production
Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment
Build collaborative relationships crossāfunctionally and with key contacts outside own area of expertise, with the potential to serve as an external spokesperson for the organization
Communicate and collaborate effectively with key stakeholders at each stage, facilitating meaningful discussions around complex issues and driving progress toward tangible outcomes
Mentor other researchers and provide technical guidance, coaching, and feedback
Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain
Contribute to Voleon\ās efforts to recruit exceptional talent
Requirements
5ā10+ years of related experience directing key research projects and mentoring colleagues
Capability to run multiple projects simultaneously, exercising judgment in the methods, techniques, and evaluation criteria for determining results
Ability to make wellāreasoned design decisions, identifying and proactively potential issues, tradeāoffs, risks, and the appropriate level of abstraction
Proven success solving largeāscale computing problems
Expertise in modern statistical methods and machine learning with a track record as an applied researcher
Evidence of strong mathematical abilities
Strong skills in software development techniques and production level coding (Python and/or R preferred)
Effective at communicating complex technical issues simply and transparently, including writing insightful documentation
Ability to influence without requiring formal authority, with a proven track record of influence beyond your team
Interest in financial applications is essential, but prior finance industry experience is not a prerequisite
Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred
Friends of Voleon Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions please make sure to review the Voleon Referral Bonus Program.
Equal Opportunity EmployerThe Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
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Senior Member of Research Staff (London) employer: The Voleon Group
Contact Detail:
The Voleon Group Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Senior Member of Research Staff (London)
āØTip Number 1
Familiarise yourself with Voleon's specific methodologies and recent projects. Understanding their approach to machine learning in finance will help you engage in meaningful conversations during interviews.
āØTip Number 2
Network with current or former employees of Voleon on platforms like LinkedIn. They can provide insights into the company culture and expectations, which can be invaluable when preparing for your interview.
āØTip Number 3
Stay updated on the latest trends in AI and machine learning, particularly as they relate to finance. Being able to discuss recent advancements or research can set you apart from other candidates.
āØTip Number 4
Prepare to discuss your past projects in detail, especially those that demonstrate your ability to solve complex problems. Highlighting your experience with large-scale computing and statistical methods will resonate well with the hiring team.
We think you need these skills to ace Senior Member of Research Staff (London)
Some tips for your application š«”
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Senior Member of Research Staff position at Voleon. Tailor your application to highlight how your experience aligns with their focus on AI, machine learning, and financial market prediction.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 5-10+ years of experience in directing research projects and mentoring colleagues. Provide specific examples of complex projects you've completed and how they improved product performance or risk management.
Showcase Technical Skills: Make sure to detail your expertise in modern statistical methods and machine learning. Include any relevant programming skills, particularly in Python and R, and mention any successful applications of these skills in previous roles.
Communicate Effectively: When writing your application, focus on clear and concise communication. Demonstrate your ability to explain complex technical issues simply, as this is crucial for the role. Use your cover letter to convey your passion for the field and your interest in financial applications.
How to prepare for a job interview at The Voleon Group
āØShowcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to machine learning and statistical methods. Highlight any significant contributions you've made and how they relate to financial market prediction or portfolio optimisation.
āØDemonstrate Technical Proficiency
Make sure to brush up on your coding skills, particularly in Python and R. Be ready to discuss your experience with software development techniques and how you've implemented models into production in past roles.
āØCommunicate Complex Ideas Simply
Practice explaining complex technical concepts in a straightforward manner. This will be crucial during the interview, as you'll need to communicate effectively with stakeholders who may not have a deep technical background.
āØStay Current with Academic Research
Familiarise yourself with the latest advancements in AI and machine learning, particularly those applicable to finance. Being able to reference recent studies or breakthroughs can demonstrate your commitment to staying at the forefront of the field.