Quantitative & Risk Analytics – ESG Analytics, Senior Associate

The core of this role is ESG analytics production and delivery. On a day-to-day basis, that means overseeing the monthly analytics run, channelling quarterly and monthly ESG data to portfolio managers and clients, and troubleshooting vendor data issues as they arise. Beyond the recurring cycle, the analyst contributes to quantitative ESG overlays for mandates with specific integration requirements, such as decarbonisation objectives, analysing how those constraints affect the market opportunity set. A second strand is tooling and automation. Building and refining dashboards, screens and analytical tools that let investment teams incorporate ESG metrics without leaving their existing workflow is central to making the analytics stick. Partnering with data, technology and platform teams to improve data quality and automate recurring outputs is an ongoing responsibility rather than a one-off project. The third strand is client-facing. This person helps prepare and present Barings' ESG capabilities in meetings, which means the analytics must be defensible and communicable to both technical and non-technical audiences. The overarching goal is to make ESG data a genuine input into Barings' public and private investment decisions rather than a compliance afterthought.

The most immediate learning curve is mastering ESG data at institutional scale, working with vendor feeds such as MSCI ESG Manager, Refinitiv or Bloomberg, and understanding how coverage gaps, restatements and methodology differences affect portfolio metrics. That fluency is highly transferable and increasingly rare. Because the role sits inside a quantitative risk team, there is genuine exposure to how fixed income and private credit portfolios are constructed, measured and stress-tested. An analyst coming from a pure ESG vendor background could expect to deepen their understanding of buy-side risk analytics platforms like Aladdin and how ESG overlays interact with mandate constraints. Barings also signals support for professional development through its mention of the CFA and the CFA Sustainable Investment Certificate. For someone targeting a long-term career at the intersection of quantitative finance and sustainability, this pairing of formal qualification support with daily regulatory work on TCFD, SFDR and TNFD is unusually well-rounded.

The brief is quite specific: two or more years in an ESG data role, ideally either at an ESG vendor or in a quantitative ESG function within an asset manager. A degree in finance, economics, mathematics, statistics or engineering underpins the quantitative expectation, and genuine comfort with large datasets (Python, SQL, PowerBI or Excel) is treated as a baseline rather than a bonus. Beyond the technical stack, the distinguishing trait is the ability to explain complex ESG metrics to non-technical audiences. This person will be in rooms with portfolio managers, product specialists and clients, so written and verbal clarity matters as much as the code. Knowledge of TCFD, SFDR and TNFD frameworks is expected, with fixed income familiarity listed as desirable rather than essential. The soft skills the posting emphasises are telling: intellectual curiosity, an ownership mindset, and the ability to independently drive analysis from problem definition through to stakeholder communication. Familiarity with Aladdin or MSCI ESG Manager would help, as would progress towards a CFA or the CFA sustainable investment certificate, though neither appears to be a hard gate.

Given how specific the brief is, the strongest applications will mirror the required stack explicitly. Name the ESG vendors or platforms you have actually worked with (MSCI ESG Manager, Refinitiv, Bloomberg, Aladdin) and quantify the datasets you have handled. A one-line example of automating a recurring report or reconciling a vendor data gap will land better than a list of certifications. The second lever is the regulatory angle. Barings operates across jurisdictions, so showing you have translated TCFD, SFDR or TNFD requirements into something a portfolio manager could act on demonstrates you understand why the role exists rather than just the mechanics of it. If you have ever defended an ESG metric in a client or investment committee setting, that belongs in the application. For the cover letter, avoid repeating the job description. Instead, articulate one concrete view on how quantitative ESG overlays can be built without distorting the investable universe: that is precisely the tension this team grapples with. If you lack a buy-side background but come from a vendor, frame your data-quality and methodology experience as the differentiator, and be explicit about what you want to learn next.

The role sits squarely on the data and integration side of sustainability, not on environmental operations or corporate footprint. Barings' exposure is through the capital it allocates, so this analyst's work touches how ESG risk and opportunity are measured across public and private portfolios, credit, real assets, capital solutions and emerging markets. The regulatory dimension is significant. TCFD, SFDR and, increasingly, TNFD reporting shape what clients and regulators expect, and someone in this seat will likely be close to how those frameworks are operationalised into portfolio metrics. The decarbonisation overlay work is particularly interesting because it forces a conversation about how to pursue climate objectives without hollowing out returns. There is also a governance thread. Ensuring that ESG data feeding client reporting is accurate and consistent across mandates is a control function as much as an analytics one, and it matters for how Barings positions its ESG capabilities in a competitive asset management market.

The recurring tension in this kind of role is data quality versus analytical ambition. ESG vendor data is notoriously inconsistent (differing methodologies, lagged reporting, incomplete coverage of private assets) and much of the analyst's time could go into reconciliation and sanity-checking rather than headline analysis. That can feel unglamorous but is where credibility is won or lost. A second challenge is translating ESG constraints into investment language. Designing a decarbonisation overlay sounds straightforward until it collides with a mandate's tracking error, liquidity needs or sector concentration. The analyst will need to push back constructively and explain trade-offs without being seen as the person who says no. Finally, private markets data is simply harder than public. Barings' mix of public and private portfolios means the analyst may face uneven data availability and will need to build pragmatic proxies rather than wait for perfect information. Managing stakeholder expectations around that gap is part of the job.

Mornings could begin with checking overnight data vendor feeds, resolving any delivery or completeness issues, and reviewing dashboards built the previous week. During the monthly production window, much of the day may be consumed by the ESG analytics run, validating outputs, reconciling anomalies, and preparing the data package for investment teams. Mid-day typically involves collaboration: a stand-up with data or platform colleagues on automation work, a working session with a portfolio manager or product specialist to interpret a metric, or a call with a vendor about a new dataset. There will be stretches of focused coding in Python or SQL when building or refining a screen, interspersed with ad-hoc requests that arrive with short deadlines. The rhythm is not uniform. Around quarter-end and client reporting cycles the pace and the client-facing element increase, while quieter periods allow deeper work on tooling and overlay design. Client meetings, when they occur, require preparation such as drafting slides or validating figures in advance.

The most visible growth path is deeper into quantitative investment analytics, moving from ESG-focused work toward broader risk and portfolio analytics as familiarity with Aladdin and fixed income portfolios grows. That trajectory is well-established inside asset managers and can lead to senior analyst or portfolio analytics roles. Alternatively, the ESG specialisation itself is a strong differentiator. Someone who can sit credibly between data science, regulatory frameworks and client conversations is in demand across asset managers, insurers and data providers. Two to three years in this seat could position someone for an ESG lead or sustainable investment strategist role. Less formally, the exposure to client meetings and the design of overlays gives visibility with product and sales teams, useful for anyone considering a move toward product development or client-facing sustainable investment roles. Barings' support for the CFA and CFA sustainable investment certificate suggests the firm is willing to invest in that progression.

The closest working relationships are likely with portfolio managers and product managers, who consume the ESG analytics and need them framed in terms they can act on. These interactions require balancing analytical rigour with commercial pragmatism, since the data ultimately informs investment decisions and client conversations. On the data side, the analyst works regularly with external ESG vendors to resolve issues and onboard new datasets, and internally with data, technology and platform teams to improve pipelines and automation. Those relationships are operational but critical, when a feed breaks near a reporting deadline, the speed of resolution depends on how well those channels work. Client-facing exposure comes through sales and client service teams, where the analyst may contribute to presentations on Barings' ESG capabilities. Stakeholders therefore span from highly technical engineers to senior client-facing professionals, and the role explicitly calls for comfort operating across that range of seniority.