<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:a10="http://www.w3.org/2005/Atom" version="2.0">
  <channel>
    <title>RSS export of vacancies - Alleen actuele vacatures : No / Profiel : Investment Management--&gt;Equity Management, Investment Management--&gt;Sustainable Investing</title>
    <link>https://jobs.candriam.com/handlers/offerRss.ashx?Rss_Profile=2808%2C2814&amp;lcid=2057</link>
    <description />
    <language>en-GB</language>
    <item>
      <link>https://jobs.candriam.com/Pages/Offre/detailoffre.aspx?idOffre=453&amp;idOrigine=502&amp;LCID=2057</link>
      <category>Investment Management/Sustainable Investing</category>
      <category>Internship</category>
      <title>2026-453 - Climate &amp; Biodiversity Analyst Intern F/M</title>
      <description>&lt;b&gt;Business unit : &lt;/b&gt;Investment Management/Sustainable Investing&lt;br /&gt;
&lt;b&gt;Contract type : &lt;/b&gt;Internship&lt;br /&gt;
&lt;b&gt;Position description : &lt;/b&gt;&lt;br /&gt;
The Climate Transition &amp; Impact Investing team is seeking an intern to support the development of its ESG and impact methodologies, with a focus on Net Zero, Transition, Biodiversity and Impact Investing.
In a context of growing client demand and business opportunities, the intern will contribute to further strengthening these frameworks and their integration into ESG investment solutions. The role will notably involve taking an active part in the development of the Biodiversity methodology and model, and supporting their integration into ESG models, funds and reporting.&lt;br /&gt;&lt;br /&gt;
Main missions:
Net Zero: develop climate analytical tools and analysis to assess to what extent companies have credible transition strategies
Biodiversity: continue to develop our Biodiversity model and analysis, based on geospatial data and corporate disclosure
Impact Investing: help in the design and implementation of impact investing methodologies for listed and private investment strategies&lt;br /&gt;
&lt;b&gt;Education : &lt;/b&gt;4. Master's Degree II / Bac+5&lt;br /&gt;
&lt;b&gt;Language / Level : &lt;/b&gt;&lt;br /&gt;
English : C1 - Fluent&lt;br /&gt;
&lt;b&gt;Language / Level : &lt;/b&gt;&lt;br /&gt;
French : C1 - Fluent&lt;br /&gt;
</description>
      <pubDate>Fri, 30 Oct 2026 10:26:06 Z</pubDate>
    </item>
    <item>
      <link>https://jobs.candriam.com/Pages/Offre/detailoffre.aspx?idOffre=444&amp;idOrigine=502&amp;LCID=2057</link>
      <category>Investment Management/Equity Management</category>
      <category>Permanent</category>
      <title>2026-444 - Quantitative Equity Researcher F/M</title>
      <description>&lt;b&gt;Business unit : &lt;/b&gt;Investment Management/Equity Management&lt;br /&gt;
&lt;b&gt;Contract type : &lt;/b&gt;Permanent&lt;br /&gt;
&lt;b&gt;Position description : &lt;/b&gt;&lt;br /&gt;
The Quantitative Equity Management team manages assets across active global, US, European and Japanese long-only equity funds and institutional mandates, as well as a long/short market-neutral strategy.
We are looking for a Quantitative Equity Researcher to strengthen the team’s research capabilities and contribute to the continued development of its investment strategies.

The successful candidate will conduct applied quantitative research aimed at enhancing the existing investment framework and identifying new, differentiated sources of alpha. This includes improving current stock-selection models and developing complementary strategies that broaden and diversify the team’s investment approach.&lt;br /&gt;&lt;br /&gt;
Responsabilities
Conduct quantitative research into new equity signals, datasets and investment strategies.
Enhance and extend the team’s existing stock-selection models and research framework.
Identify complementary sources of alpha across investment styles, regions and market environments.
Assess the robustness, economic rationale and scalability of new signals and strategies.
Design and perform rigorous backtests, including transaction costs, liquidity constraints and implementation considerations.
Analyse signal interactions, factor exposures, portfolio risks and performance across different market regimes.
Explore alternative and unstructured datasets, as well as advanced statistical, machine-learning and AI techniques where relevant.
Translate successful research into robust, production-ready investment solutions.
Collaborate closely with Quantitative Fund Managers on portfolio construction, strategy implementation and ongoing model monitoring.
Clearly present research findings and investment recommendations to colleagues and internal decision-making committees.
Contribute to the team’s research agenda and challenge existing approaches constructively.&lt;br /&gt;
&lt;b&gt;Education : &lt;/b&gt;3. Master's Degree I / Bac+4&lt;br /&gt;
&lt;b&gt;Language / Level : &lt;/b&gt;&lt;br /&gt;
English : C1 - Fluent&lt;br /&gt;
</description>
      <pubDate>Tue, 08 Sep 2026 15:42:06 Z</pubDate>
    </item>
  </channel>
</rss>