Offer summary

Qualifications:

10-15 years of experience in data analytics, focusing on security threat detection, preferably in financial services., Strong knowledge of cyber security principles, risk management, and metrics used in cyber security and fraud analytics., Familiarity with dark web intelligence tools and the tactics used by cybercriminals., Experience in leading teams of data analysts or engineers, with strong communication and analytical skills..

Key responsibilities:

Collaborate with business stakeholders to define the vision for monitoring tools against threats.

Develop metrics, reports, and alerts that align with business objectives and are technically feasible.

Design an analytics package to identify and mitigate critical threats, articulating it in both business and technical terms.

Guide engineering resources in the development and delivery of the analytics solutions.

Job description

Job Description:

Pay Range: $90hr - $95hr

Responsibilities:

Work directly with the business to co-create a detailed vision of the tools they need to effectively monitor the dark-web and other data sources to protect their company and their clients from threats.
Define a set of metrics, reports, and alerts that support the vision and are technically feasible given the available data and modeling resources.
The business objectives of each metric and report need to be clearly defined along with the specification of how the metric should be calculated from existing data.
The business stakeholders will only be able to provide high-level directional goals.
It will be the responsibility of this role to provide an industry best practice view of what analytics are needed and how they should be constructed.
This role must play the dual responsibilities of SME and architect.
This role requires adopting the perspective of a chief risk officer to design an analytics package that identifies and mitigates the most critical threats.
Additionally, the role demands clearly articulating this package in both business language and technical specifications, as well as guiding engineering resources in its development and delivery.

Required Knowledge:

Understanding of the principles of cyber security and risk management.
Strong working knowledge of metrics commonly used in cyber security and fraud analytics.
Familiarity with dark web intelligence tools, techniques, and sources.
Familiarity with the tactics, techniques, and procedures used by cybercriminals, hackers, and other threat actors who operate on the dark web.
Statistical methods, machine learning algorithms, and predictive modeling techniques used to analyze large datasets for patterns indicative of security threats.
Understanding of the specific cybersecurity requirements and regulatory standards that apply to financial institutions.
Understanding of cloud engineering and the construction of data preparation and analytics pipelines.

Communicator:

The person who fills this role must be able to ask intelligent questions to effectively uncover the true needs of the business stakeholder and must be able to articulate what is and isn’t possible given the data and tech stack and resourcing.
The ability to lead design discussions with technical and non-technical stakeholders is critical.
This person needs to be able to clearly communicate not only technical specifications to the other team members, but also the business reasoning for the requirements.

Analytical:

The person who fills this role must be able to break down a business problem into logical components and map those components to available technical solutions.
The person must understand the logical connections between different client.
overall solution both from a business angle and from a technical angle.
The person must be adept at organizing and planning work with complex interdependencies.

Preferred Experience:

Minimum of 10-15years of experience in data analytics, with a focus on security threat detection, preferably within the financial services industry.
Demonstrated experience in monitoring, analyzing, and interpreting dark web data to identify potential security threats.
At least 5-7 years of experience leading a team of data analysts or engineers, with a proven ability to manage and mentor team members, delegate tasks effectively, and foster a collaborative work environment.
5+ years in data and analytics engineering.