Data Scientist​/Financial Events & Graph Analytics

Job Title:

Data Scientist / Financial Events & Graph Analytics

Location:

Berkeley Heights, NJ (5 days a week onsite) Duration: long term Type:
Contract W2 Role Summary

We are hiring a Data Scientist to model and analyze financial events and entity relationships using graph data. You will work with engineers and stakeholders to design graph schemas, build analytical pipelines, and deliver insights/products such as risk signals, anomaly detection, entity resolution, and event‑driven intelligence.

• Design and evolve graph data models for financial events, entities, and relationships (accounts, payroll, employee details, KYE etc.).
• Translate business questions into graph queries and features (traversals, communities, centrality, paths, temporal patterns).
• Build data pipelines for ingestion, cleaning, labeling, and feature engineering, including entity resolution and relationship extraction where needed.
• Develop and validate statistical/ML models (risk scoring, anomaly detection, fraud patterns, forecasting, classification).
• Create event‑driven analytics using strong time semantics (event ordering, windows, causality assumptions, lifecycle states).
• Partner with engineering to produce models: batch + near-real-time scoring, monitoring, drift checks, and reproducible experiments.
• Communicate findings clearly via notebooks, dashboards, and concise writeups.

• Strong foundation in statistics + machine learning (evaluation, leakage prevention, bias checks, calibration, experimentation).
• Hands‑on experience with Graph DBs and graph concepts:
• Schema/design
  : node/edge types, properties, constraints, indexing, cardinality, temporal modeling
• Querying: Cypher (Neo4j) and/or Gremlin/SPARQL
• Graph algorithms
  :
  Page Rank, betweenness, connected components, community detection, similarity
• Strong Python for DS (pandas, Num Py, scikit-learn; comfort writing production‑ready code).
• Ability to explain technical results to non‑technical stakeholders.
• Domain experience (preferred)
• Financial data and event modeling
  : accounts, payroll, employee details, KYE etc.
• Understanding of financial events and workflows

• Entity resolution / record linkage; graph‑based identity resolution.
• NLP for event extraction from unstructured text (contracts, filings, invoices).Experience with cloud data stacks (GCP/AWS), orchestration (Airflow/Prefect), and model serving.
• Knowledge of governance/security patterns for sensitive financial data.

Next Gen Software Solutions is an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse workplace where all employees and applicants are treated respect and dignity. We do not discriminate based on race, colour, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, genetic information, veteran status, or any other legally protected characteristic under applicable federal, state, or local laws.