Senior Portfolio Manager - Quantitative Strategies

ATTIX APAC PTE. LTD.; Singapore; Hybrid; SGD 250,000 - 500,000; Full time

Job summary

ATTIX APAC PTE. LTD.

in Singapore invites a senior portfolio manager to own live portfolios and enforce the firm’s capital allocation standards. You will oversee strategy transitions from shadow to live trading and maintain governance around risk, volatility, and drawdown limits.

Qualifications

• 5 to 12 years of experience in systematic investing.
• Direct P&L responsibility for a multi-strategy portfolio.
• Experience managing live capital through a significant drawdown.
• Experience in mid-frequency strategies: daily to weekly rebalancing.
• Deep experience in US equities and ETFs; digital assets is a plus.
• Advanced degree in quantitative field preferred.

Responsibilities

• Take full ownership of live portfolios and ensure performance within defined risk mandates.
• Lead capital allocation, position sizing and risk limits across strategies.
• Govern strategy lifecycle decisions from shadow to live trading and retire underperforming strategies.
• Strengthen investment governance framework including capital allocation criteria and daily monitoring.
• Set the evidence standard for new strategies with the research team.
• Oversee model signals and ensure proper sizing and monitoring.

Skills

P&L ownership

Systematic investing

Portfolio risk management

Capital allocation

Quantitative analysis

Python

SQL

Communication with committees

Education

Advanced degree in quantitative field

Tools

Python

SQL

Job description

About the role

We manage systematic, multi-strategy portfolios for wealth management clients, primarily in US equities and ETFs with a selective allocation to digital assets. Our strategies range from factor-based and rules-based models to machine learning approaches.

We are investing in the next generation of our platform. We are looking for a senior portfolio manager to own the live portfolios and the standards every strategy must meet to receive capital.

Location: Singapore, Hybrid

Hours: Singapore office hours plus US session coverage, with flexible arrangements

Key responsibilities

• Portfolio ownership: Take full accountability for the live portfolios and their performance, within a defined risk mandate covering volatility, drawdown and concentration limits.

• Capital allocation and risk management: Lead allocation across strategies, position sizing and risk limits, including the risk response during periods of market stress.

• Strategy lifecycle governance: Make the final decision on moving strategies from shadow to live trading, and on retiring strategies that no longer meet performance standards.

• Investment governance: Own and keep strengthening the firm’s investment governance framework, covering capital allocation criteria, daily monitoring, periodic review and strategy retirement.

• Research oversight: Set the evidence standard for new strategies. You will work with the research team and decide whether a strategy is ready for capital.

Qualifications and experience

• 5 to 12 years of experience in systematic investing, at a systematic or multi-manager firm with an institutional capital allocation and risk management process.

• Direct P&L responsibility for a multi-strategy portfolio, or ownership of live strategies with attributed P&L and regular engagement with an investment or capital allocation committee.

• Experience managing live capital through a significant drawdown, and the ability to explain which decisions you changed and which you held.

• Experience in mid-frequency strategies: daily to weekly rebalancing, with holding periods of days to months.

• Deep experience in US equities and ETFs. Experience with digital assets is a plus.

• An advanced degree in a quantitative field is preferred, though we weigh practical experience most heavily.

Core competencies

• Portfolio construction: Volatility targeting, risk budgeting, constrained optimisation, and correlation and concentration management.

• Strategy evaluation: Walk-forward and out-of-sample testing, controls for overfitting and multiple comparisons, capacity analysis and decay detection.

• Transaction cost analysis: Cost modelling, including execution constraints at smaller order sizes.

• Technical proficiency: Enough Python and SQL to review backtests, query portfolio data and check results yourself. This is not a software development role.

• Performance analysis: Reading tear sheets, attribution and turnover reports with a critical eye.

• Model oversight: Allocating to and monitoring machine learning signals built by others, including how to size them and how to tell when they have stopped working.

What this role is not

• An intraday, market-making or high-frequency trading role

• A software engineering role

• A research-only position without accountability for live results

Compensation

Competitive compensation package, commensurate with experience.