The position is for a Python Developer within RISK Americas, focused on supporting the digitalization of operational processes by designing, building, and maintaining interconnected applications. The chosen candidate will work closely with RISK teams to identify manual or fragmented workflows and transform them into reliable, scalable, and well-controlled solutions. By leveraging automation, the role will help reduce manual effort, improve process efficiency, strengthen controls, and create more sustainable ways of working. The role offers exposure to a broad range of risk processes and metrics, and the integration of those metrics into Limit Reporting.
The mission of RISK function is to provide Senior Management of the Group and of the Operating Divisions with full transparency and dynamic analysis of the risks and clients managed by the various operating divisions: Corporate and Institutional Banking (CIB), Retail Banking, Investment & Protection Services (IPS).
The scope of the RISK function within CIB in US is:
Market and Liquidity risks: covering the CIB capital markets activities, ALM Treasury as well as the IPS Business Units,
Counterparty risks: covering all counterparty risks arising from derivative and repo transactions,
Credit risks: credit analysis and approval for Financial Institutions Sovereigns, Wealth Management clients and other IPS private clients
The RISK function contributes to the definition of the Group s risk appetite, its risk decision making process and the optimisation of capital allocation to support the development of the Operating Divisions.
Job Purpose
The position is for a Python Developer in Risk Americas, focusing on the design, development, and deployment of robust automation tools and internal modules. This role is centred on transforming complex technical and functional specifications into high-performance software solutions.
Unlike traditional development roles that require extensive requirement gathering, this position is highly execution oriented. You will be provided with detailed, pre-defined specifications and will be responsible for the end-to-end implementation, testing, and optimization of the tools required to streamline our operational workflows.
As a Risk Developer your responsibilities will include:
Tool Development: Build and maintain sophisticated automation tools to handle complex data investigations, risk analysis, and workflow management.
Workflow Automation: Develop scripts and applications to automate manual processes, including the extraction, transformation, and loading (ETL) of data from legacy formats (e.g., Excel) into structured systems.
Module Construction: Design and implement specialized modules for reporting, automated commentary generation, and systematic escalation workflows.
Data Integration: Create seamless integrations between various data sources, internal APIs, and third-party systems.
Code Quality & Reliability: Write clean, scalable, and well-documented code. Ensure all automation tools are rigorously tested to handle edge cases and high-volume data processing.
Optimization: Continuously monitor and optimize existing automation tools for speed, accuracy, and resource efficiency.
Core accountabilities of role
Develop and maintain Python-based applications and automation solutions that improve efficiency, control, and scalability across the RISK stream.
Work with Risk users, analysts, and technology teams for user acceptance testing, and to ensure a smooth deployment of the solutions in production
Deliver robust Python solutions, including scripts, tools, workflows, and small applications, ensuring they are well tested, documented, maintainable, and aligned with RISK standards.
Knowledge, Skill and Experience
Strong experience working with complex and varied IT systems, with a results-driven mindset and a clear understanding of how outputs affect business stakeholders.
Excellent analytical skills, with the ability to explain technical concepts clearly and provide practical guidance to others.
Expert Python Proficiency: Advanced knowledge of Python and its ecosystem.
Data Manipulation: Extensive experience with libraries such as Pandas, NumPy, and Openpyxl for complex data processing and spreadsheet automation.
Database Management: Strong proficiency in SQL and experience interacting with relational databases.
API Integration: Proven experience consuming RESTful APIs.
Software Engineering Best Practices: Mastery of version control (Git), unit testing frameworks, and the ability to write modular, maintainable code. CI/CD pipeline experience is preferable.
Automated Workflows: Experience building notification engines, escalation logic, or reporting modules .
AI exposure: prior exposure to AI would be an advantage.
Strong communication, stakeholder management, and business relationship skills, with the ability to connect technical teams with junior and senior business stakeholders.
BUSINESS / IT SKILLS
IT Development
IT Tests
Python
AI (Preferable)
SQL
Business/ IT relationship
Data Quality & Security
BEHAVIOURAL SKILLS
Creativity & Innovation / Problem Solving
Adaptability
Ability to Deliver / Results Driven
Ability to collaborate / Teamwork
TRANSVERSAL SKILLS
Analytical ability
Ability to develop and leverage networks
Ability to understand explain and support change
Ability to manage a project
Ability to develop and adapt a process
Ability to conduct a negotiation
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.