OverviewJob Type: Perm

Location: London.

Flexible working: All our roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about Phoenix Flex here.

Salary and benefits: Up to £100,000 plus bonus 16% - 32%, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more

Closing Date: 15th September

We’re Phoenix Group, we’re a long-term savings and retirement business. We offer a range of products across our market-leading brands, Standard Life, SunLife, Phoenix Life and ReAssure. Around 1 in 5 people in the UK has a pension with us. We’re a FTSE 100 organisation that is tackling key issues such as transitioning our portfolio to net zero by 2050, and we’re not done yet.

The RoleWe have an incredible opportunity to join us here at Phoenix Group as a Quant Delivery/Business Analyst in our Capital Markets team within the Asset Management function.

The role is key to sustain the continued maturity of our data journey within the function and will contribute to the successful development of the Phoenix Group Asset Management vision, particularly in delivering a world-class data ecosystem.

The successful candidate will have an extensive track record of working with Quant Engineering platforms, Front, Middle and Back Office teams and have a good understanding of the trade lifecycle from both an investment and operational perspective. You will have an unwavering attention to detail as you collaborate with internal and external teams involved in managing and supporting our asset data.

You will also be responsible for developing the business and technical requirements required to evolve the data operating model, primarily for the Capital Markets business, working as part of an agile scrum team to develop solutions to satisfy those requirements.

The role requires the ability to communicate at multiple levels and is best suited to an individual who can converse with a broad range of colleagues adapting their style to meet multiple audiences and is dynamic and proactive in their thinking with the ability to inspire and motivate the team in order to exceed the needs of senior stakeholders.

Working as part of an agile team through a significant period of transformation and enabling a suitable data operating model for a mature Asset Management function which is core to the success of the wider Phoenix Group.

Key responsibilities

Lead, oversee and co-ordinate the quant engineering backlog, working with the Quant product owner assigned to the Capital Markets delivery team(s).

Support and challenge to ensure ways of working are fully adopted and analysis activities completed in line with sprint plans.

Develop strong relationships with key business stakeholders and other colleagues to elicit requirements and subsequently update on requirements evolution in a business focused way.

Support and host discussions within a multidisciplinary team, with potentially difficult dynamics.

Support the project manage(s) / delivery managers(s) to regularly assess the progress and effectiveness of the discovery and analysis effort, taking interventions as needed to deliver work to agreed timescales and quality.

Create artefacts supporting agile ways of working e.g. user stories with acceptance criteria (JIRA)

Create and maintain good quality stores of business knowledge and information (JIRA, Confluence, SharePoint etc)

Work with the product owner to prioritise the backlog

Support delivery teams by communicating effectively within an agile delivery framework

Identify and document risks, issues and dependencies that are likely to affect the delivery of requirements

Support the development of sustainable, commercially viable change solutions with clear linkages to Asset Management goals and objectives – end to end (i.e. discovery, analysis/design, build, test and business readiness)

Provide oversight and advice to other team members involved in the delivery of data and reporting solutions

Share knowledge and education amongst the Business Analyst community and wider teams

Manage the workload for the squad driving effective and efficient delivery of work packages.

Provide timely, accurate and transparent MI that enables the throughput of the squad be managed and provide a key input into work scheduling and where appropriate prioritisation.

What we’re looking forEssential

Significant years working in the asset management industry and highly regulated environments.

Front-office experience and Aladdin ecosystem

Delivery hands on experience – working closely with the Quant teams to ensure successful outcomes

Direct experience with datasets relating to investment, asset data, including derivatives i.e. trade lifecycle

Experience working with Front, Middle and Back Office teams to gather and interpret business process and technical requirements

Understanding of the key concepts of Quant Engineering

Relevant experience working as part of an agile team – end to end i.e. discovery, analysis/design, build, test and business readiness

Experience engaging with third party vendors and collaborating on joint technology solutions

Great stakeholder management and engagement skills

Excellent communication, influencing and facilitation skills, in particular for problem solving and troubleshooting activities, ability to communicate effectively in a technical and non-technical ways.

Ability to demonstrate resilience, flexibility and adapt to changing schedules and priorities

Delivery Experience

Experience of using Microsoft office tools to an advanced standard

Knowledge of Agile methodologies and tooling to support agile delivery of projects (e.g. Jira/Confluence)

Experience in modern ways of working (examples include Agile, CI/CD, DevOps, Test Automation)

Understanding of data concepts e.g. Data Management/Governance

Understanding of architecture and design concepts for data exploitation solutions

Experience using technologies includes Analytics (e.g. R and Python), Reporting (e.g. QuickSight, Tableau, Qlik, Power BI) and APIs

Demonstrable expertise in the areas of business analysis in large complex IT estates

Desirable

Membership of a professional body

Degree in Computer Science, Technology or Engineering or similar

Personal Attributes

Customer focused with an attitude to deliver excellent customer outcomes through technical expertise

Problem solving, analytics and resolution skills

Strong verbal and written communication skills

Demonstrated ability to communicate effectively across teams

Ability to operate in cross-functional and multidisciplinary teams

Ability to learn new technologies. Continuously strives to learn and make time for self-development.

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