Participate in the pricing and risk analysis of various portfolios, develop light spreadsheet and marking tools using Python, and generate analytic reports for trading desks within the Shanghai Quantitative Analytics Group.
Responsibilities
Participate in the pricing and risk analysis of various portfolios
Develop light spreadsheet tools to help traders analyze and monitor their trading exposures
Develop marking tools using market information using Python
Develop library for the bank pricing and booking systems
Develop, generate and validate regular analytic reports for the trading desks
Requirements
Bachelor's degree from a top tier university in Science or Finance disciplines (Computer Science, Mathematics, Statistics, Quantitative Economics or Financial Engineering)
Responsible for monitoring and managing controls around day‑to‑day cash flow movements for OTC derivatives, running reconciliations, identifying and escalating risks, and supporting new business initiatives within the Group Treasury Middle Office.
Responsibilities
Monitor new control for day‑to‑day cash flow movements for OTC derivatives
Run daily reconciliations and exception reports
Identify and resolve errors in daily process
Escalate risks and coordinate resolution delivery
Collaborate with partner functions to enhance processes
Delivery Consultant, Data Engineering and Conversion Solutions on the AI & Data team, responsible for designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks platform.
Locations (8)
Gilbert, Arizona, United States
Lake Mary, Florida, United States
Mechanicsburg, Pennsylvania, United States
Atlanta, Georgia, United States
Charlotte, North Carolina, United States
Senior Consultant, Strategy, Growth, and Transformation
As a Senior Consultant, Strategy, Growth, and Transformation on the Customer Strategy & Design team, you will be responsible for designing, building, and maintaining data pipelines, data models, and workflows in Palantir Foundry for public-health programs, developing data engineering solutions with Python, JavaScript, TypeScript, and Databricks, and translating program needs involving infectious diseases or epidemiology into scalable data products.
Compensation
A reasonable estimate of the current range is $110,700 to $218,300.
Responsibilities
Designing, building, and maintaining data pipelines, data models, and workflows in Palantir Foundry for public-health programs
Developing data engineering solutions with Python, JavaScript, TypeScript, and Databricks to support ingestion, transformation, analysis, and delivery of data products
Translating program needs involving infectious diseases or epidemiology into scalable data products, analytical workflows, and user-facing capabilities
Developing full-stack components, including front-end interfaces, that improve access to data and program insights
Driving assigned work across concurrent programs, documenting technical decisions, and partnering with delivery teams to meet project objectives
Hands‑on SecOps Incident Response Analyst responsible for investigating, containing, and recovering from security incidents across endpoints, identities, cloud, and network environments.
Responsibilities
Monitor, triage, and investigate security alerts across SIEM, EDR, SOAR, CNAPP and other security platforms
Handle security incidents end to end: detection, investigation, scoping, containment, eradication, recovery, and lessons learned
Correlate endpoint, identity, cloud, and network telemetry to establish incident timelines, identify root causes, and assess impact
Investigate suspicious activity in AWS, Windows, macOS and identity environments
Write, tune, and maintain detection rules, correlation logic, and investigation queries
Requirements
Nice to have: Experience in a financial or banking environment
Design, implement and refine models that turn multi-modal data into production solutions across a wide range of industries and business problems.
Locations (2)
Santiago
Sao Paulo
Responsibilities
Build, test, and refine machine learning and analytical models that power production systems across a range of problem types, such as pricing and personalization engines, demand forecasting, and predictive maintenance, taking them from exploration and feature engineering through validation and deployment
Work with client data engineering and analytics teams to acquire, extract, and prepare data for modeling at scale, including cleaning, enriching, de-duping, and joining structured, semi-structured, and unstructured data
Partner with consulting teams to translate client business problems into analytical approaches and help scope the work
Use AI tools with guardrails to accelerate your work, from exploration and prototyping through implementation
Apply generative AI where it offers a better path to a client solution, using techniques such as prompt engineering and retrieval-augmented generation
The Data Scientist owns the statistical and analytical core of a Growth AI Performance System product module, designing, building, and validating the models that power client-facing outputs across marketing ROI, brand strategy, or pricing and commercial analytics.
Locations (2)
Sao Paulo, Brazil
Warsaw, Mazovia, Poland
Responsibilities
Own the statistical modeling and analytical delivery for your product module workstream
Design, build, and validate Bayesian statistical models, time-series forecasts, and domain-specific analytical frameworks
Translate statistical model outputs into structured, versioned data products
Own the validation and evaluation framework for your workstream
Work closely with the Data Engineer and platform Data team to ensure data quality
Requirements
Bachelor’s degree in statistics, mathematics, economics, computer science, or a related quantitative field
Building Bain’s integrated suite of agentic decisioning tools that gives large organizations always-on intelligence across their most important growth decisions.
Locations (2)
Sao Paulo, Brazil
Warsaw, Mazovia, Poland
Responsibilities
Build and own core components of the Growth AI Performance System Agentic Core
Build AI applications for enterprise use cases from POCs through to scaled production deployments
Implement agentic patterns with strong judgment about when they add real value
Design and build advanced retrieval and knowledge pipelines across diverse data structures
Apply fine-tuning and parameter-efficient tuning techniques
Requirements
Associate’s degree / Bachelor’s degree in computer science, engineering, mathematics, or a related technical field
Nice to have: Azure
Nice to have: AWS
Skills
Principal Software Engineer, DevSecOps & Developer Experience Platform
A reasonable estimate of the current range is $78,700 to $131,100.
Responsibilities
Designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks platform using Auto Loader, Declarative Pipelines, and Structured Streaming
Building and optimizing Databricks SQL endpoints, data models, and integrations with business intelligence tools
Supporting the development and deployment of machine learning solutions using Databricks, Unity Catalog, and MLflow
Advising clients on implementation approaches and operational practices across Databricks data, analytics, and machine learning capabilities
Implementing end-to-end Databricks solutions across data ingestion, transformation, governance, and deployment on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Nice to have: Databricks Data Engineer Associate certification
Nice to have: Databricks Data Engineer Professional certification
Nice to have: Databricks Data Analyst Associate certification
Nice to have: Experience supporting government, public sector, or higher education clients
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