Project details
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This role is especially well-suited for:
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You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise.
This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities
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What You'll Do
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- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
- Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
- Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility
- Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
- Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
- Incorporate big data processing scenarios requiring scalable computational approaches
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This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time.
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The role requires close collaboration with cross-functional teams to implement and maintain EHS standards, conduct risk assessments, and drive continuous improvement initiatives.
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Key responsibilities:
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Frontend developer to HR platform with Angular experience
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Process and Consulting for Asset PnL (m/f/d)
Industry
Banking and Finance
Areas
Finance
Project Management
Project info
- Period04.08.2025 - 04.11.2025
- Capacityfrom 90%
- Daily rate950 - 1290€
- LocationBerlin, Germany
- Remotefrom 80%
Description
We are looking for an experienced consultant for a process and project initiative in Asset P&L (Profit and Loss) at a leading international financial services provider.
Typical tasks in this role:**
Analyze and document the existing end-to-end P&L processes for various asset classes (e.g. equities, fixed income, derivatives).
Identify weaknesses, risks and inefficiencies in data collection, processing and reporting.
Design optimized target processes for P&L calculation and attribution.
Create functional specifications and business requirements for adapting or introducing IT systems (e.g. P&L engines, data warehouses).
Project management for implementing the new processes and tools, including milestone planning, stakeholder management and test coordination.
Develop control mechanisms to ensure data quality and consistency.
Prepare training materials and conduct workshops for stakeholders (trading, controlling, risk).
Relevant technologies, tools or methods:**
Advanced Analytics: MS Excel (Pivot, Power Query, VBA), SQL.
Business Intelligence: Tableau, Power BI, Qlik.
Project Management: Jira, Confluence, MS Project.
ERP/Finance Systems: SAP FI/CO, Oracle Financials, or industry-specific asset management platforms.
Methods: Business Process Model and Notation (BPMN 2.0), agile project management (Scrum/Kanban).
Typical KPIs or success metrics:**
Reduction in P&L production time (cycle time): target >25% efficiency gain.
Decrease in manual correction entries: target >50% reduction through process automation.
Data quality index: increase the "first-time-right" rate in data capture to >99%.
Efficiency ratio (cost-to-income): demonstrate a positive contribution to lowering the ratio.
User adoption rate: acceptance of new processes/tools by stakeholders >80% after 3 months.
Key challenges, risks or specifics:**
Heterogeneous system landscapes and inconsistent data sources (data silos).
High complexity of financial products and valuation models.
Resistance to process changes among stakeholders (change management).
Ensuring compliance with regulatory requirements (e.g. IFRS 9, BCBS 239).
Time- and budget-critical execution during ongoing operations.
Deliverables:**
Milestone 1: completed as-is analysis and process documentation.
Deliverable 1: detailed analysis report including assessment of weaknesses.
Milestone 2: finalized target concept and business requirements document.
Deliverable 2: implementation roadmap and project plan.
Milestone 3: successful user acceptance test (UAT) of the new process/tool.
Deliverable 3: acceptance records, training materials and project closure report.
Requirements
Must-Haves:**
Degree in economics, finance, business informatics or related field.
Several years of project experience as a consultant or in-house consultant in the financial sector, especially in asset management, investment banking or treasury.
Deep understanding of P&L processes, financial instruments and relevant accounting standards (IFRS).
Proven experience in process analysis, optimization and project management.
Nice-to-Haves:**
Chartered Financial Analyst (CFA) certification or equivalent.
Experience with agile project methods.
Knowledge of SQL and common BI tools.
Personal qualities and mindset:**
Strong analytical and conceptual skills.
Excellent communication and presentation skills to explain complex issues to different audiences.
High problem-solving ability and a hands-on mentality.
Persuasiveness and sensitivity when dealing with various stakeholders (traders, management, IT).