At a Glance
- Tasks: Join the RDA team to analyze data and support investment staff with innovative solutions.
- Company: Top-tier Investment Manager with a strong focus on technology and data-driven strategies.
- Benefits: Enjoy a competitive salary, guaranteed bonus, hybrid work model, and great corporate perks.
- Why this job: Be part of a collaborative team that values diverse perspectives and drives impactful change.
- Qualifications: 4+ years in asset management, strong financial product knowledge, and excellent problem-solving skills required.
- Other info: Ideal for curious, enthusiastic learners who thrive in fast-paced environments.
The predicted salary is between 60000 - 84000 £ per year.
Mid Level Business Analyst. Investment Management Research Data Analytics. £100,000 + guaranteed 15% Bonus and Benefits. 2 Days hybrid.
My client is a top tier Investment Manager that is looking for a Business Analyst to join the Research Data Analytics (RDA) team. Recently formed, the RDA team works cross asset to provide data and analytics across all fundamental research groups. You will have either worked in asset management technology or gained exposure to technology through your own curiosity and interest.
Members of this group will partner with dedicated engineering teams to deliver high quality software products to investment staff. As part of the group you will;
• partner with engineering managers to help plan and prioritize the roadmap and ensure system and feature design align to the long-term strategic vision.
• Work alongside engineers to develop prototype code that defines complex business logic and domain specific calculation methodologies
• Provide domain specific training to engineering teams so that they can better support investment staff
• Breakdown complex requirements from investment staff and provide advice to them on solutions.
The company has made a big investment into the future of their technology and data. They have a big vision of what they can achieve and have ambitious plans to get there. They hold collaboration as a core tenet of how they accomplish their goals. You should be interested in a team-oriented approach; curious and enthusiastic learners will be amongst their tribe there. They are a group of diverse thinkers, all working together to with different perspectives to create optimal solutions to continue to propel T Rowe Price to great heights.
Core Competencies and Responsibilities:
• Excellent problem-solving and critical-thinking skills; demonstrated ability to employ fact-based decision-making to resolve complex problems, by applying logic analysis, experience and business knowledge
• Strong financial product knowledge, ability to communicate effectively with all areas of business.
• Planning and coordination – Must excel in planning and organization to achieve job objectives, setting priorities among activities; utilizes available resources, copes with changing conditions and unforeseen events, assumes responsibility for completion of one\’s own work and meets deadlines.
• Work closely with agile technology teams implement business requirements and automation.
• Provide operational support and ensure data quality in our systems, whilst working to automate away support overheads through technology.
• Develop and sustain relationships with Portfolio Managers, Risk Managers, Quants and Investment Analysts on a global basis and supporting their ongoing data requirements
• High energy, results driven person with strong interpersonal skills with the ability to work well with global teams, including time-zone flexibility
• Must be a self-starter with ability to build working relationships and ability to work effectively in a global matrixed organization
• Flexible and comfortable with uncertainty in requirements etc. in a fast paced, rapidly changing environment
• Must be able to independently “troubleshoot” functional and/or quantitative problems
Required Qualifications:
Along with the responsibilities and competencies specified above, we are looking for an individual who possesses a positive, action-oriented attitude and understands the importance of taking initiative within a team environment.
• 4+ years of functional/demonstrated experience with Fixed Income products, derivatives, and analytics with an Asset Management firm.
• 4+ years of business systems analysis or experience working with and analyzing data for Front Office functions
• Subject Matter Expertise in either FI Attribution, FI Risk, FI Quant, FI Portfolio Management (e.g. portfolio construction)
• General knowledge/awareness of macro financial markets and more specifically, the buy-side/asset management industry
If you are interested to learn more, please send a CV for immediate consideration.
Mid Level Business Analyst. Investment Management Research Data Analytics. £100,000 + guaranteed 15% Bonus and Benefits. 2 Days hybrid. employer: CommuniTech Recruitment Group
Contact Detail:
CommuniTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid Level Business Analyst. Investment Management Research Data Analytics. £100,000 + guaranteed 15% Bonus and Benefits. 2 Days hybrid.
✨Tip Number 1
Familiarize yourself with the latest trends in investment management technology. Understanding how data analytics is transforming the industry will help you speak confidently about your insights during interviews.
✨Tip Number 2
Network with professionals in the asset management field, especially those who work in data analytics. Engaging with them can provide you with valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've solved complex problems in previous roles. Highlighting your critical-thinking skills and ability to work collaboratively will resonate well with the team-oriented culture they value.
✨Tip Number 4
Showcase your knowledge of financial products, particularly Fixed Income and derivatives. Being able to communicate effectively about these topics will demonstrate your expertise and fit for the role.
We think you need these skills to ace Mid Level Business Analyst. Investment Management Research Data Analytics. £100,000 + guaranteed 15% Bonus and Benefits. 2 Days hybrid.
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in asset management technology and data analytics. Emphasize your problem-solving skills and any experience with Fixed Income products or derivatives.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to work collaboratively with engineering teams and your understanding of investment management.
Highlight Relevant Skills: In your application, clearly outline your competencies in planning, coordination, and communication. Provide examples of how you've successfully managed complex requirements and delivered results in a fast-paced environment.
Showcase Your Curiosity: Demonstrate your curiosity and eagerness to learn by mentioning any self-initiated projects or research related to data analytics or financial markets. This will align with the company's value of having enthusiastic learners on their team.
How to prepare for a job interview at CommuniTech Recruitment Group
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've successfully resolved complex problems. Highlight your critical-thinking abilities and how you've applied logic and business knowledge in past roles.
✨Demonstrate Financial Product Knowledge
Make sure you can communicate effectively about financial products, especially Fixed Income and derivatives. Be ready to explain how your experience aligns with the needs of the investment management industry.
✨Emphasize Team Collaboration
Since the company values collaboration, share experiences where you've worked closely with cross-functional teams. Discuss how you’ve partnered with engineering teams or other departments to achieve common goals.
✨Prepare for Agile Methodologies
Familiarize yourself with agile practices and be ready to discuss how you've implemented business requirements in an agile environment. Highlight any experience you have with automation and improving data quality.