Vybog

2 Jobs

43 Employees

About the Company

Vybog facilitates effective management of critical tasks in a business, by collecting, analyzing, and acting on data, thereby, considerably reducing data storage & labor costs, improving data security and usage, and creating a differentiated customer experience through edge computing, artificial intelligence, machine learning, IoT, biometrics, hybrid, and auto-scaling technologies. Our goal is to achieve flawless execution to augment operational excellence and optimize revenue generation to benefit the network of suppliers, customers, and investors, as well as boost employee morale. To sum up, we focus on augmenting human productivity; and attaining high and expedited ROI that will in due course elevate a society, which in turn will have a cascading and prolific impact on the entire world.

Listed Jobs

Company Name: Vybog
Job Title: Data Scientist With AI -Payment and Cards
Job Description: **Job Title** Data Scientist With AI – Payment and Cards **Role Summary** Analyze complex payment‑card datasets to deliver actionable insights and product optimizations. Use SQL, cloud warehouses, and optional Python/BI tools to transform raw data into structured analyses for business stakeholders. **Expectations** - 5–8 years in analytics, product, or data roles. - Proficiency in SQL on cloud data warehouses. - Ability to interpret financial/card program metrics (transactions, declines, fees). - Strong communication to explain findings to non‑technical audiences. **Key Responsibilities** - Develop and execute SQL queries for ad‑hoc analysis, reporting, and model inputs. - Clean and prepare messy transactional data, ensuring accuracy and consistency. - Translate ambiguous product or business questions into clear analytical frameworks. - Build dashboards and visualizations (Tableau/Looker) to track key metrics. - Collaborate with product managers and finance teams to prioritize analytical initiatives. - Support ad‑hoc forecasting and lightweight modeling where required. **Required Skills** - Advanced SQL (joins, window functions, aggregations, date/time logic). - Experience with Snowflake, Redshift, BigQuery, or similar cloud data warehouses. - Strong analytical and business problem‑solving abilities. - Excellent written and verbal communication. - Familiarity with financial/payment card data structures and terminology. **Preferred Skills** - Snowflake‑specific features or best practices. - Python for data exploration or modeling (not mandatory). - Tableau or Looker experience building dashboards or metric reports. - Knowledge of banking data, card transactions, digital wallets, authentication flows, or settlement processes. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field. - Advanced certifications in SQL, Data Analytics, or Cloud Data Warehousing (e.g., Snowflake Data Engineer, Google Cloud BigQuery Data Analyst) preferred.

Company Name: Vybog
Job Title: Sr. Data Modeler with Cap Market Experience
Job Description: Job Title: Senior Data Modeler – Capital Markets Role Summary: Lead the design, maintenance, and optimization of conceptual, logical, and physical data models for Capital Markets initiatives. Translate business requirements into scalable, high‑performance data structures, ensuring alignment with industry standards and regulatory reporting. Expectations: - Deliver enterprise‑level data models that support equities, fixed income, derivatives, risk, liquidity, and reporting needs. - Mentor junior modelers and establish best‑practice frameworks. - Maintain rigorous data lineage, documentation, and metadata standards. Key Responsibilities: - Drive data modelling initiatives for Capital Markets projects. - Design and maintain 3NF, star, and snowflake models for both transactional and analytical workloads. - Collaborate with business stakeholders, data engineers, and analytics teams to capture and translate requirements. - Review, refine, and performance‑tune existing data models. - Provide guidance on data standards, regulatory compliance, and reporting requirements. - Document data lineage, model diagrams, and metadata for governance. - Mentor team members on modelling techniques and tool usage. Required Skills: - 10+ years of data modelling experience, with a focus on Capital Markets. - Deep knowledge of Capital Markets domains (Equities, Fixed Income, Derivatives, Risk, Liquidity, Reporting). - Expertise in IDC / enterprise data modelling and integration. - Proficiency in relational and dimensional modelling (3NF, star, snowflake). - Strong SQL and data analysis capabilities. - Proven experience working with data engineering teams. - Excellent communication, stakeholder management, and mentorship skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience). - Relevant certifications in data modelling or capital markets (e.g., Certified Data Management Professional, CAPM) preferred.