Business Analyst

Reference:

24000FA5

Responsibilities

The Regional Data Management Office (RDMO) is looking to hire a Data SME in the investment banking and financial services industry. The SME will have expertise in Data Distribution, Product Hierarchy, Natural Language Processing (NLP), Machine Learning (ML), Artificial Intelligence (AI), and custom and vendor implementations in the field of Data Management with strong Enterprise Data Management and delivery expertise. With solid understanding of Data Governance and the technology solutioning for data distribution across storage types, leveraging ML and AI for insights, efficiencies and opportunities, the hire will be responsible and accountable for leading vendor and internal initiatives, R&D, Proof of Concepts (POCs) on the strategic data offense initiatives.

Duties/Responsibilities:

The RDMO Offense Data SME will drive the initiatives on the data offense value creation strategy.

The SME will be responsible for project management, business and data analysis of the following:

• Identifying and documenting tasks, milestones, and timeline for individual initiatives
• Partnering with internal business resources to develop requirements and success factors
• Define KPIs
• Ensure the appropriate use of NLP/AI/ML where the opportunity exists
• Partnering with internal and external technology resources to develop and monitor implementation plans
• Communication on progress of plan to Stakeholders and management
• Supporting vendors, technology and business partners with the various tasks
• Identifying and remediating risk and issues and escalations to management
• Assigning and tracking dependencies, resources and progress
• Data analysis
• Perform analysis and provide recommendation for solution analysis, design and implementation
• Evaluate alternatives and present the most efficient and cost-effective solution
• Testing deliverables to ensure requirements are met
• Coordinate delivery and adoption planning
• Monitor implementation and delivery plans, manage roadblocks and escalations
• Provide estimates on cost, impact and feasibility of proposed solutions
• Provide training materials and training for new solutions
• Provide end user support of deliverables
• Track impact of solutions, measure sand report via KPIs
  
  

Required

Profile required

MINIMUM REQUIREMENTS:

EDUCATION: Bachelors degree in Computer Science, Computer Engineering, Data Science, Math, Finance, Economics, or related field required; Masters degree preferred

EXPERIENCE: 3-7 years of related experience preferred

SKILLS AND EXPERIENCE NEEDED:

Description of the skills/knowledge/expertise required:

• Knowledge of Financial Services, Investment Banking preferred, with strong focus on data management, governance and quality
• Knowledge of Data Management and Governance
• Knowledge of AI/ML in the financial industry
• Knowledge of NLP in the financial industry
• Knowledge of delivery of AI/ML solutions delivering efficiencies, insights and/or revenue
• Knowledge of Data Ops supporting AI/ML implementations
• Knowledge of working in a technical role in the financial industry
• Knowledge of experience working with vendor technology solutions in the financial industry
• Strong expertise in building application solutions, R, Python, Java, …
• Hands on data access via SQL, Hadoop, Hive, Avro, and/or other data storage solutions
• Strong understanding of system design and architecture concepts including DaaS, Data Virtualization and Data Distribution
• Ability to define technical specifications based on client business requirements or functional specifications from business analysts
• Strong analytical and debugging skills
  
  

Business insight

OUR CULTURE:

At Societe Generale, we live by our 4 core values of commitment, responsibility, team spirit and innovation. We are engaged and demonstrate consideration for others. We act ethically and with courage. We focus our talent and energy on collective success. We experiment and propose new ideas. This way, we maximize our ability to serve client needs and anticipate market changes. Societe Generale is committed to strengthening bonds with colleagues, communities, and the world in which we live, because relationships are at the heart of how we operate.

For more information about our Culture and Conduct initiatives, please visit this link (https://americas.societegenerale.com/en/careers/get-know-culture/)

D&I:

Our Diversity & Inclusion Mission: Recruit, develop, advance, and retain a diverse workforce that is united in our efforts to enhance our competitive position and deliver innovative solutions to our clients.

Our Diversity & Inclusion Vision:

• Engaged workforce that is demographically diverse in a way that reflects the communities in which we operate
• Inclusive culture and workplace that recognizes employees' unique needs and utilizes their diverse talents
• Engage our community and marketplace, and position the organization to meet the needs of all its clients
  
  

For more information about our D&I initiatives, please visit this link (https://americas.societegenerale.com/en/societe-generale-about/diversity-and-inclusion/)

HYBRID WORK ENVIRONMENT:

Societe Generale offers a hybrid work arrangement that offers employees the flexibility to work remotely, as well as on-site, in order to promote interaction and collaboration with colleagues while adhering to all SG standard protocols. Hybrid work arrangements vary based on business area. The applicable Business lines will determine and communicate the work arrangements that best meet their business needs.

COMPENSATION & SALARY RANGE:

Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience.

Societe Generale is an equal opportunity employer, and we are proud to make diversity a strength for our company. We are committed to recognizing and promoting the talents and achievements of our employees and staff, regardless of race, religion, color, national origin, sex, disability, age, gender, sexual orientation, and any other characteristic or status protected under applicable law.

Salary : $81,000 - $250,000