Mallory Triano discusses her role in securing key technical talent for the financial sector and the importance of collaboration with educational and workplace institutions.
The global head of campus recruiting at investment firm Millennium Management, Mallory Triano is responsible for creating a recruitment pipeline of skilled students and graduates – particularly those with engineering and technology qualifications.
She has found that in the investment management sphere, AI skills are largely being used to enhance decision-making, simplify workflows and redefine team expectations. “As a result, firms are evolving their hiring strategies to meet the demands of this new era,” she told SiliconRepublic.com.
“AI-native talent is increasingly important as these individuals are comfortable applying AI in their daily roles and are not held back by traditional ways of working. For our firm, this means doubling down on early-career talent who are using AI regularly in both their personal and professional lives.”
Triano’s experience has led her to believe that Ireland has emerged as a strong environment for “cultivating early-career AI talent”, due in part to a vibrant and collaborative technology ecosystem that includes leading universities and established financial services infrastructure.
She said: “The expansion of our AI-focused internship programme in Ireland is an acknowledgement of this trend and demonstrates our commitment to investing in early-career talent from leading Irish universities.”
Noting the importance of partnership between educational facilities and organisations in creating opportunities for students to access careers in the finance and fintech spaces, Triano explained that industry and academic collaboration can help bridge the gap between academic excellence and real-world experience.
She finds internship programmes are an ideal example of this, where firms can partner with universities and career centres to ensure students are aware of professional development opportunities.
“In finance, internships are often the primary pathway to full-time employment for recent graduates and provide opportunities for students to gain hands-on experience while learning from industry experts.”
The four Cs
Of the skills students and graduates looking to move into this space should prioritise, Triano emphasised the importance of strong technical proficiency, alongside what she referred to as the four Cs: creativity, curiosity, critical thinking and commercial awareness.
“These skills allow professionals to thrive in AI-driven workplaces, collaborate across technology and business teams, and apply AI effectively to evolving business challenges.
“AI is here to stay and it’s an opportunity for early-career talent to show that innovation can come from every level of an organisation,” she added.
“For those who can ask the right questions and critically evaluate AI outputs, they can contribute immediately while continuing to build the domain expertise that will always be an important foundation for working in a technology role.”
To that point, Triano finds that there are a range of diverse and exciting opportunities for technologists within finance. However, there are barriers.
For example, she said the larger challenge is often the level of awareness. People may not have an in-depth understanding of the alternatives that exist outside of the traditional definition of Big Tech, she explained.
She said: “Never has this been more true than today with rapid advances in AI. In my view, early-career talent will play a critical role in shaping the future of our industry, not in spite of AI, but because of it.”
Triano’s opinion that there is opportunity in the air for professionals, as a response to AI advancements, is supported by a recent report published by professional networking platform LinkedIn.
The company’s research found that AI is creating more jobs globally than it is replacing, as in the past two years, employers across the world have created at least 1.3m ‘new collar’ AI‑related job opportunities, including for data annotators, AI engineers and forward‑deployed engineers.
LinkedIn’s data also identified the potential mobility of experts with AI skills, as those with AI engineering talent were found to be eight times more likely to move across borders than the average LinkedIn member.
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