Account Director - Sales Financial Services (Capital Markets)

Sigmoid
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Recruitment Consultant- Artificial Intelligence, DACH

Senior Machine Learning Scientist

Data Scientist

Data Scientist

Data Scientist

About Sigmoid Analytics:

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America in 2020, 2021, 2022, 2023, 2024 by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Having started in 2013 by three IIT Kharagpur Alumni, Rahul, Lokesh & Mayur. We have now grown into a 900+ members strong team with offices in San Francisco, Jersey City, Dallas, London, Amsterdam, Peru and Bangalore, India. Sigmoid is rapidly growing & is backed by Sequoia Capital.


Job Description:

Sigmoid is seeking a leader to be responsible for growing client engagements and setting the charter for Sigmond’sFinancial Services (Capital Markets) accounts. They are accountable for overall account management activities and serve as leaders overseeing revenue growth and maintain indirect responsibility for shared service work activities. They are also skilled in having difficult client and employee conversations within the context of project management and they consistently demonstrate an advanced ability to rally a team to deliver high client satisfaction.


Account Director will establish, maintain and grow strong, strategic partnerships with clients by

ensuring the successful execution of deliverables. Provide thought leadership on strategic planning

initiatives, and engage a cross-functional team to deliver high levels of overall service and delivery.

He/she will:


● Develop a good understanding of customer’s needs in industry, competitors, market pressures

and incorporate this thinking into compelling propositions.

● Establish strong relationships withFinancial Services clients (preferably Capital Markets)to

promote Sigmoid and our service offerings.

● Drive new business on existing accounts and participate in new business development efforts.

● Consistently demonstrates financial acumen through ensuring revenue and profitability targets

are met on account(s).

● Proactively manage the business to client through supporting and leading staffing and resource

management.

● Conduct QBR, understand challenges, ensure CSAT and in partnership with delivery managers

and technical teams ensure that there are no hiccups in the relationship

● Ability to travel to clients frequently and sometimes with little advance notice

● Lead execution of all client work, ensuring it meets or exceeds client’s objectives, is in line

with company’s creative philosophy and is of the highest quality.


Qualifications:

● Bachelor degree required in Technical/Business discipline.

● 12-16 years of experience in client services/account management in consultative services

selling

● Business acumen to develop and manage budgets/forecasts/ pro forma

● Exceptional written and verbal skills, including presentation and client engagement

● Ability to multi-task and work well in a fast changing environment

● Consistent, keen attention to detail; successfully deliver on high expectations

● Advanced Word, Excel, and PowerPoint skills


Mandatory:

Should be able to travel to Ireland without any VISA / personal restrictions.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.