FINANCE & MARKETS SUBJECT MATTER EXPERTS

Innodata Inc.; Philippines; Remote; PHP 1,764,000 - 5,292,000; Part time

Job summary

Innodata Inc. seeks Finance & Markets SMEs to apply analytical expertise to AI training data. This freelance role covers investment analysis, accounting records, risk assessment, and market visualization across multiple areas. 5+ hours daily commitment, 100% work from home.

Areas include fixed income, market charts, volatility surfaces, order-book depth, insurance loss patterns, and corporate tax structures. Candidates with advanced degrees in finance or economics are encouraged to apply.

Qualifications

• Bachelor’s, Master’s, or PhD in finance, economics, or a quantitative field.
• Strong analytical, numerical, and problem-solving skills.
• Ability to interpret financial charts, market data, and accounting records.

Responsibilities

• Interpret fixed income data, yield curves, and central bank information.
• Analyze market indicators and visualizations related to monetary policy.
• Interpret option-implied volatility, slopes, and volatility surfaces.
• Assess order-book data, depth, and liquidity visuals.
• Review historical ledgers and accounting records for accuracy.

Skills

Financial analysis

Economics

Quantitative analysis

Data interpretation

Written English

Education

Bachelor’s degree

Master’s degree

PhD

Tools

Statistical software

Market data platforms

Job description

We're looking for analytical and detail-oriented Finance & Markets Subject Matter Experts (SMEs) to join our large-scale AI Training Data Programme!

This is an exciting opportunity for finance professionals, economists, accountants, actuaries, researchers, and quantitative specialists to apply their expertise in financial markets, investment analysis, accounting records, and risk assessment to help improve AI technologies.

• Engagement Type: Freelance
• Work Arrangement: 100% Work From Home (WFH)
• Minimum Commitment: At least 5 hours per day
• Compensation: Hourly rate based on assigned tier level
• Project: AI Training Data Programme

Areas of Expertise

Candidates may specialize in one or more of the following areas:

1. Fixed Income and Central Banking

• Interpret bond-market data, yield curves, interest-rate information, and central banking charts.
• Analyze financial indicators and visualizations related to monetary policy and fixed-income markets.

2. Point-and-Figure Charts

• Interpret point-and-figure charts used in technical market analysis.
• Identify price movements, breakout patterns, support, resistance, and trend signals.

3. Market Profile Time-Price Charts

• Analyze Market Profile and time-price opportunity (TPO) charts.
• Interpret price distribution, trading activity, and market structure.

4. Implied-Volatility Surfaces and Smiles

• Interpret implied-volatility smiles, skews, and volatility surfaces.
• Analyze options-market visualizations and relationships among strike prices, maturities, and implied volatility.

5. Order-Book Depth Charts and Heatmaps

• Interpret order-book data, market depth, liquidity, and bid-ask information.
• Analyze heatmaps and visualizations of trading activity and market liquidity.

6. Insurance Loss-Development Triangles

• Interpret loss-development triangles used in insurance reserving.
• Analyze claims development patterns and related actuarial data.

7. Catastrophe Loss Curves and Reinsurance Towers

• Interpret catastrophe risk curves, loss distributions, and reinsurance structures.
• Analyze layers of coverage, attachment points, limits, and risk-transfer arrangements.

8. Corporate and Tax Group Structure Charts

• Interpret corporate ownership structures, subsidiary relationships, and group organization diagrams.
• Analyze legal-entity relationships and tax-related corporate structures.

9. Historical Ledgers and Account Books

• Interpret historical accounting records, ledgers, journals, and account books.
• Identify financial entries, account classifications, transaction records, and historical bookkeeping conventions.

Qualifications

• Bachelor’s, Master’s, or PhD degree in a relevant discipline.
• Relevant academic backgrounds may include:
• Finance and Financial Management
• Accountancy and Management Accounting
• Economics
• Mathematics and Statistics
• Financial Engineering and Quantitative Finance
• Actuarial Science
• Banking and Financial Markets
• Risk Management and Insurance
• Business Administration
• Accounting Information Systems
• Data Science or a related quantitative field

Candidates with relevant professional experience, specialized research, or demonstrated expertise in any of the listed areas are also encouraged to apply.

• Strong analytical, numerical, and problem-solving skills.
• Ability to interpret financial charts, market visualizations, accounting records, and technical diagrams.
• Familiarity with financial instruments, market behavior, accounting principles, risk analysis, or actuarial methods, depending on specialization.
• Excellent attention to detail and written English communication skills.
• Ability to follow detailed project guidelines and maintain accurate, consistent outputs.
• Experience with financial data analysis, accounting systems, statistical tools, or market-data platforms is an advantage.