Quant Developer (Algo Trading)

Role Summary:

We are hiring a generalist ML Engineer / Quant Developer with 2-4 yrs of relevant experience to join Hawksight.co to accelerate the development of our strategy construction, and recommendation system. This includes trading system optimization, formulation of new strategies (both classic and AI based), and the continuous improvement of our backtesting, and deployment systems.

Job Description:

1. Independently develop infrastructure for trading strategy construction, backtesting, and deployment using python
2. Deploy, contribute, and maintain backend APIs within agreed specifications using FastAPI
3. Closely collaborate with product managers, UX / frontend developers, and backend engineers on the rollout of new features within target timelines
4. Constantly communicate progress to stakeholders in a way that is both timely and transparent
5. Independently research, and integrate new market data, trading indicators, methodologies, and other technologies that can be used to empower Hawksight's users to trade smarter, and better
6. Improve the internal algorithms that power Hawksight's strategy recommendation system using statistics, optimization, machine learning, and any other effective approaches
7. Effectively prioritize analyses, features, and tasks that are most valuable for the end users of the platform

Requirements:

1. Candidate must possess at least a Bachelor's Degree in Engineering (Computer/Telecommunication) or equivalent. Although also open to experienced career shifters.
2. At least 3 Year(s) of relevant working experience
3. Experience with financial analysis using SQL, Python, and backtesting frameworks like backtrader
4. Expertise in API integration, and development (w/ experience in at least one of the following) — FastAPI, flask
5. Knowledge in data engineering (w/ experience in at least one of the following) — CRON, Airflow, Dagster
6. Training, and deploying models using statistics, machine learning, and time series forecasting
7. Has some understanding of metrics, and concepts in trading (e.g. Sharpe ratio, max drawdown)
8. Aligned with our vision of democratizing data driven investments
9. Understands that practically solving problems is more important than using the most advanced methodology

Plus if:

1. Knows node.js, and can help out with general backend development
2. Familiar w fastquant, tslib, TimescaleDB, and natural language processing (NLP)
3. Can independently setup an analytical database, including its update pipeline
4. Invests in stocks / crypto / forex / etc
5. Has built an algo-trading system for work, or personal projects