At a Glance
- Tasks: Lead data-driven forensic investigations and manage a talented team.
- Company: Globally recognised consulting firm in financial services.
- Benefits: Competitive salary, access to cutting-edge tech, and strong career development.
- Other info: Inclusive culture with opportunities for business development and client engagement.
- Why this job: Make an impact on high-profile projects while developing your leadership skills.
- Qualifications: Experience in data analytics, AI, and team management in regulated environments.
The predicted salary is between 90000 - 105000 £ per year.
This organisation is a globally recognised consulting firm operating across financial services and other regulated industries. Their specialist forensics function focuses on helping clients investigate and mitigate financial, legal, and regulatory risks using advanced analytics and emerging technologies. The team is investing heavily in AI and data capabilities to support complex, high-impact client engagements.
This is a senior leadership position combining hands-on project delivery with team management and business development responsibilities. You will lead complex data-driven forensic investigations whilst working closely with clients and contributing to the growth of the practice.
Specifically, you can expect to be involved in:
- Leading data and AI-driven forensic projects, including data ingestion, analysis and modelling
- Managing and mentoring a team of data professionals across multiple engagements
- Working directly with clients to deliver insights and communicate findings clearly
- Supporting business development activities, including developing new client relationships
- Delivering projects focused on regulatory investigations, fraud, and financial risk
Your Skills and Experience
- Strong experience in data analytics and AI within a regulated environment (e.g. financial services, lending, or fraud)
- Proven ability to lead teams and manage large-scale data-focused projects
- Experience engaging with clients and presenting technical outputs to non-technical stakeholders
- Commercial awareness with experience supporting or driving business development activities
- Technical capability across SQL, Python, and cloud platforms (e.g. Azure, AWS or GCP)
- Familiarity with data engineering tools and platforms such as Databricks
The Benefits
- Competitive salary and benefits package
- Opportunity to work on high-profile, complex engagements
- Access to cutting-edge data and AI technologies
- Strong career development and leadership opportunities
- Inclusive and collaborative working environment
The Process
- Initial interview
- Technical or competency-based interview
- Final interview
- Offer!
How to Apply
Please register your interest via the apply link on this page.
Senior Forensics analytics Manager employer: Harnham
As a globally recognised consulting firm, this organisation offers an exceptional work environment for a Senior Forensics Analytics Manager in London, combining competitive salaries with a strong focus on career development and leadership opportunities. Employees benefit from access to cutting-edge data and AI technologies while working on high-profile projects that make a real impact, all within an inclusive and collaborative culture that values innovation and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Forensics analytics Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in forensics and AI. We suggest practising common interview questions and even some technical ones related to SQL or Python. The more prepared you are, the more confident you'll feel!
✨Tip Number 3
Showcase your skills! During interviews, be ready to discuss your past projects and how you've led teams or managed data-driven investigations. We want to see how your experience aligns with the role, so don’t hold back on sharing your successes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us. So, don’t hesitate – hit that apply button and let’s get the conversation started!
We think you need these skills to ace Senior Forensics analytics Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your experience in data analytics and AI, especially within regulated environments. We want to see how you can lead teams and manage projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Senior Forensics Analytics Manager role. Share specific examples of your past successes in similar roles and how they relate to what we do at StudySmarter.
Showcase Your Technical Skills:Don’t forget to mention your technical capabilities! Whether it's SQL, Python, or cloud platforms like Azure, AWS, or GCP, make sure these skills are front and centre. We love seeing candidates who are comfortable with data engineering tools too!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
As a Senior Forensics Analytics Manager, you'll need to demonstrate your expertise in data analytics and AI. Brush up on your knowledge of SQL, Python, and cloud platforms like Azure or AWS. Be ready to discuss specific projects where you've used these skills to drive results.
✨Showcase Your Leadership Skills
This role involves managing a team, so be prepared to talk about your leadership style and experiences. Think of examples where you've successfully led teams through complex data-driven projects, and how you mentored team members to achieve their best.
✨Engage with Clients Effectively
You'll be working directly with clients, so practice how you communicate technical findings to non-technical stakeholders. Use clear, concise language and prepare to share examples of how you've built client relationships and delivered insights that made an impact.
✨Demonstrate Business Acumen
Since business development is part of the role, show your understanding of the financial services landscape. Be ready to discuss how you've contributed to business growth in previous roles, and think about ways you could help this organisation expand its client base.
