PL- QUANT TRADER

Newbridge Alliance Pte Ltd

Singapore

Vor Ort

SGD 110.000 - 180.000

Vollzeit

Vor 10 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Newbridge Alliance Pte Ltd, a Singapore-based quantitative trading firm, is expanding its dedicated sports prediction markets team. They seek an experienced sports trader to price, trade and manage risk on contracts across platforms like Polymarket and Kalshi.

You will collaborate with in-house quants to design, test and scale systematic strategies, and you will own edges and P&L while exploring new markets in pre-match and in-play scenarios.

Qualifikationen

  • 5–6 years of sports trading experience
  • Experience with prediction markets or sportsbook trading
  • Strong pricing intuition across pre-match and in-play
  • Track record with numbers: P&L, volumes, markets covered
  • Quant literacy and Python a plus

Aufgaben

  • Price, trade and manage risk on sports contracts across prediction markets
  • Work with in-house quants to design, test and scale systematic strategies
  • Find and open new sports markets and edges, with real ownership of P&L

Kenntnisse

Pricing intuition
Python
Risk management
Data analysis

Tools

Polymarket
Kalshi

Jobbeschreibung

Sports Trader – Prediction Markets

Leading Quant Trading Firm | Singapore

My client is a well-capitalised, technology-driven quantitative trading firm. They have a dedicated sports prediction-markets team and are now expanding it with experienced sports traders.

The role
  • Price, trade and manage risk on sports contracts across prediction markets such as Polymarket and Kalshi, plus related venues.
  • Work directly with in-house quants to design, test and scale systematic strategies.
  • Find and open new sports markets and edges, with real ownership of P&L.
What they want
  • 5–6 years of sports trading experience, ideally at a prediction market, betting exchange or sportsbook trading desk.
  • Strong pricing intuition across pre-match and in-play markets.
  • Quant-literate: comfortable with models and data, and Python is a plus.
  • A track record you can back with numbers: P&L, volumes, markets covered.
Also open to:

quant traders or researchers with direct sports or prediction-market experience.

Why this opportunity
  • An established quant trading platform and capital behind the desk.
  • A seat on a specialist team that is building now, not a large legacy desk.
  • Partnership with a strong quant bench to turn trading insight into systematic strategy.
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