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Lead Data & Analytics Engineer

Morgan Stanley

Greater London

On-site

GBP 60,000 - 80,000

Full time

Today
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Job summary

A leading global financial services firm based in the United Kingdom is seeking a seasoned Business Analyst to drive requirements gathering for innovative data governance solutions. This role involves collaborating with diverse teams, managing stakeholder relations, and translating needs into actionable user stories. The ideal candidate will possess extensive experience in the Financial Services sector, strong data analysis skills, and the ability to thrive in an agile environment. Competitive benefits and a commitment to diversity and inclusion are integral to the firm’s values.

Benefits

Comprehensive employee benefits
Flexible working arrangements

Qualifications

  • 8 years of experience as a Technical Business Analyst in Financial Services.
  • Ability to conduct data analysis for decision making.
  • Knowledge of data transfer methods (databases, APIs).

Responsibilities

  • Identify capabilities/features to meet customer needs and create user stories.
  • Manage stakeholder relations and prioritize features.
  • Collaborate with squads to refine user stories and solutions.

Skills

Technical Business Analyst
Data analysis
Problem-solving skills
Agile software development practices
Capital Markets knowledge
Communication skills

Education

8+ years of experience in Financial Services

Tools

Collibra
Apache Hive
AWS
Kafka
Spark
Job description

Job Description - Business Analyst FDO

Profile Description

The Business Analyst will lead the requirements gathering and definition of capabilities and features for a user interface within the Firmwide Data Catalog that is pivotable to enabling business and technology teams to meet multiple business outcomes such as data flow and data risk reduction.

The capabilities of our products enable several data governance outcomes to be met and includes core engineering work to integrate various applications to central Firmwide Data Catalog and Data Quality controls. The candidate will lead discussions to understand needs of stakeholders and translate these into capabilities / features to be delivered through squads and advocate for the adoption of the product across the firm.

Cyber Data Risk and Resilience (CDRR)

The Cybersecurity organizations mission is to create an agile adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets proactively assessing threats and vulnerabilities and detecting events ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.

Firmwide Data Office

The Firmwide Data Office team is distributed globally between New York London Budapest India and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities Investment Management Wealth Management) and functions (e.g. Operations Finance Risk Trading Treasury Resilience) across the Firm. The team vision is a multi-year effort to simplify firms data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs improving the ability to demonstrate control of data empowering developers by providing consistent means of handling data facilitate data-driven insights & decision making and providing a platform to implement future change initiatives faster cheaper and easier.

Job Responsibilities

The successful candidate will be a highly motivated team player with acumen towards solving problems.

Key responsibilities of this role are
  • Identify capabilities / features to meet needs of the customer translate into user stories.
  • Stakeholder management (across divisions programs and fleet) and understand / advocate the relative priority of capabilities / features for the product.
  • Collaborate with squad to refine user stories and shape solutions.
  • Leading Product Reviews to share advancements in the product and to collect voice of the customer feedback.
  • Present requirements / business design into decision making forums to govern decisions.
  • Guide and mentor junior BAs within the team.
  • Ensure consistency and interoperability of their product with other products in the platform.
  • Knowledge sharing with our global team.
  • Maximizing the products value; ensure measurable adoption of new capabilities and features.
  • Publishing documentation guidance and training for the product.

This role offers the opportunity to -

  • Participate in transforming the firm towards a Data Driven culture.
  • Build relationships and influence senior stakeholders across the firm.
  • Develop domain expertise in Data Governance and Enterprise Metadata Management.
Qualifications
Must have :
  • 8 years of Career experience as Technical Business analyst along with Financial Services industry experience with a solid understanding of Capital Markets / Banking / Finance domain.
  • Ability to conduct data analysis to make data driven decisions.
  • Understanding of methods used by systems to communicate / transfer data (e.g. databases APIs files message queues).
  • Ability to create detailed user stories working with users and squad to refine stories.
  • Strong problem-solving skills business acumen and demonstrated excellent oral and written communication skills with both technical and non-technical audiences.
  • Agile software development practices TDD Continuous Integration.
Good to have :
  • Experience on Data Governance - Concepts Policies and Principles.
  • Certifications relevant to Agile Practices (e.g. Certified Scrum Master)
  • Certifications relevant to Governance Modelling Architecture
  • Experience in any metadata management tools such as Collibra.
  • An understanding of regulatory standards like BCBS GDPR etc.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll find an opportunity to work alongside the best and the brightest in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

Certified Persons Regulatory Requirements

If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement

Interested in flexible working opportunities Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds talents perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting developing and advancing individuals based on their skills and talents.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type: Full-Time

Experience: years

Vacancy: 1

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