remote financial risk analyst Jobs – 30 Open Jobs Today

Quantitative Analyst / Portfolio Manager (India)
EE —Remote
- ₹60,00,000 - ₹70,00,000 a month
- Full-time
- Remote
- Doctoral degree
- Master's degree
- Databases
Quick apply
2d
Collection Analyst (US Accounting)
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Risk & Insurance Analyst
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Business Analyst, Workfront (India)
Code and Theory —Remote
- Remote
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Revenue Accounting Supervisor
Porch —Remote
- ₹16,87,500 - ₹23,62,500 a year
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- Microsoft Powerpoint
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14d
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Luxoft —Remote
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Kloud Gin —Remote
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Axiom Business Analyst (US)
Luxoft —Remote
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Murex Business Analyst - FM Products
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Business Analyst
Norstella —Remote
- Full-time
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Quality Analyst (FinCrime Investigations)
Revolut —Remote
- ₹2,700 - ₹4,000 a month
- Full-time
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Revenue Accounting Supervisor
Porch Group Media —Remote
- ₹16,87,500 - ₹23,62,500 a year
- Full-time
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- Microsoft Powerpoint
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- Paid holidays
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Senior Product Analyst
Tala —Remote
- Full-time
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- SQL
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Axiom Technical Analyst
Revolut —Remote
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Senior Manager - Business System Analyst
AxisMaxlife —Remote
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FinCrime Team Lead (External Enquiries)
Revolut —Remote
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- Full-time
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Lead Analyst
Sun King —Remote
- Full-time
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- Azure
- Master's degree
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Quick apply
Technical Project Manager
Incube —Remote
- ₹20,000 - ₹35,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- PMP
- Work from home
- Flexible schedule
Quick apply
7d

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Quantitative Analyst / Portfolio Manager (India)

EE
Remote

Quick apply

Job details

Full-time
₹60,00,000 - ₹70,00,000 a month
2 days ago

Qualifications

History
Cloud infrastructure
Doctoral degree
NumPy
Bloomberg
Master's degree
Databases
SQL
Pandas
C++
C
Machine learning
Deep learning
SciPy
Forecasting
Natural language processing
APIs
Python

Full job description

Reports to [CEO]

Compensation: ₹6,000,000 to ₹. 7,000,000

About the Company

We are focused on generating superior, risk-adjusted returns. We are currently seeking a Lead Quantitative Analyst to design, build, and deploy systematic trading strategies to manage and scale a multi million equity portfolio.

You will have the autonomy to build the quantitative infrastructure from the ground up, backed by committed capital, a robust technology budget, and a mandate to deploy innovative alpha-generating models.

The Role

As the Quantitative Analyst, you will own the entire lifecycle of our systematic equity trading strategies—from data ingestion and alpha research to portfolio construction and execution. You will be responsible for deploying millions in capital efficiently, ensuring stringent risk management, and maximizing the portfolio's Sharpe ratio.

Key Responsibilities

Alpha Generation: Research, develop, and implement systematic trading strategies in [US / Global] equity markets (e.g., statistical arbitrage, fundamental quant, momentum, or machine learning-driven signals).
Portfolio Construction: Design and manage the multi million equity portfolio utilizing advanced optimization techniques to balance alpha signals with strict risk constraints, transaction costs, and market impact limits.
Risk Management: Develop robust risk models to monitor portfolio exposures (beta, sector, factor, and liquidity risks). Implement automated hedging and drawdown controls.
Infrastructure & Data Pipeline: Evaluate, integrate, and manage alternative and traditional financial data sets. Oversee the development of the backtesting engine and live execution infrastructure.
Trade Execution: Develop algorithms to minimize slippage and market impact when scaling into and out of positions for a nine-figure portfolio.
Continuous Improvement: Continuously monitor live strategy performance against backtests, tuning models to adapt to changing market microstructures and regimes.

Required Qualifications

Education: Advanced degree (Ph.D. or highly rigorous Master’s) in a highly quantitative field (Mathematics, Physics, Computer Science, Statistics, or Quantitative Finance) from a top-tier institution.
Experience: 3+ years of experience as a Quantitative Analyst, Researcher, or Portfolio Manager at a hedge fund, proprietary trading firm, or asset manager.
Track Record: Verifiable experience researching and managing strategies that can absorb 50M_–100M+ in capacity. (Candidates with a portable track record/live PnL history will be heavily prioritized)._
Technical Skills:
Expert proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn) or C++.
Experience with financial databases and data manipulation (SQL, Kdb+/q, or similar).
Familiarity with execution platforms and APIs (e.g., Interactive Brokers, Bloomberg EMSX, or direct market access).
Domain Knowledge: Deep understanding of equity market microstructure, corporate actions, fundamental data, and transaction cost analysis (TCA).

Preferred Qualifications

Experience utilizing Machine Learning / Deep Learning techniques for time-series forecasting.
Experience extracting signals from Alternative Data (e.g., web scraping, satellite imagery, NLP on earnings calls/news).
Familiarity with factor modelling (e.g., Barra, Axioma).

What We Offer

Capital: Immediate access to a $100M trading book.
Autonomy: The opportunity to act as an entrepreneur within the firm, building your ideal tech stack and data pipelines.
Resources: Generous budget for premium data feeds, alternative data sources, and cloud computing infrastructure.

Pay: ₹6,000,000.00 - ₹7,000,000.00 per month

Work Location: Remote

Quick apply

Refine Your Search

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