jobs in UBIQUANT TECHNOLOGY SERVICES PTE. LTD.

Full Time Portfolio Construction Analyst Jobs, Salary up to SGD 17,000 in UBIQUANT TECHNOLOGY SERVICES PTE. LTD. Central Region (Singapore) - Maukerja

Portfolio Construction Analyst

UBIQUANT TECHNOLOGY SERVICES PTE. LTD.

Downtown Core, Central Region (Singapore)

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Working Location

  • North Bridge Road Downtown Core Central Region (Singapore) Singapore

Job Description

Responsibilities

Job Summary

Design and develop portfolio management systems and manage the full lifecycle of quantitative strategies. Provide data analytics support and deliver actionable insights to support investment decisions and stakeholder requirements.

Responsibilities

Design and develop portfolio management systems to manage quantitative strategies from submission through live trading, including position tracking and trade result analysis

Build topic-specific BI dashboards to support investment decision-making processes

Deliver strategy- and trading-level data analysis to upstream and downstream teams according to varying strategy types and business needs

Track live performance of quantitative strategies and produce regular evaluation, comparison reports, and actionable recommendations for the CIO and Investment Decision Committee

Translate upstream business requirements into internal strategy management objectives by liaising with internal product, marketing teams, external investors, and regulators

Preferred competencies and qualifications

Experience in model performance evaluation and metric design, with prior experience in strategy evaluation, backtesting, or related analytics strongly preferred

Proficiency in at least one programming language such as Python, MATLAB, R, or SAS, with deep understanding of data analysis libraries like pandas

Strong learning agility to quickly ramp up and iterate in a fast-paced financial environment

Research or management experience in at least one category of common quantitative strategies

Familiarity with or hands-on experience with mainstream risk models such as Barra

Bachelor’s degree or above in a STEM discipline from a recognized institution, preferably in Mathematics, Statistics, Finance, Computer Science, Electronics, Automation, or related fields

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