Jobs at Tezza Business Solutions Ltd

CYBER RISK SPECIALIST

Reports to the Head of IT an Cyber risk

Job Responsibilities

• Set-up internal second line of defense red team lab to enable targeted testing of the group’s environment as well as effective follow up of vulnerability remediations.
• Manage the external red team exercise ensuring that noted risks are remediated and tracked.
• Review and propose updates to cyber risk management and information security frameworks and policies on an annual basis at a minimum.
• Enforce implementation of the cyber risk management and information security framework ensuring that key gaps and risks noted are well discussed, actioned and escalated.
• Support is ensuring the architecting and creation of secure solutions for the cloud that adhere to industry best practices through detailed risk assessments.
• Support the evaluation of security controls against the IaaS and PaaS offerings provided.
• Support the creation and management of a new security risk management process to approve and authorize new capabilities and monitor the output of the process.
• As part of targeted risk assessments, review network architecture and artifact configurations (Firewalls, Routers, Switches, IDS, IPS) and give practical recommendations.
• Support first line IT units in coming up with baselines for implementation and in accordance with best practices these include baselines for secure coding, custom scripts and programs.
• Support in other reviews that might be allocated from time to time.
• Present findings with clarity to management and get buy-in for implementation of controls.
• Have the capability to mine forensic data for investigative and forensic if called upon.

Key attributes

• Deliver with minimal supervision.
• Avid researcher of best practices and happenings in the global cyber space.
• Engage key stakeholders on actions required.
• Team player and contributor.
• Strong problem-solving, persuasive skills and an ability to grasp abstract concepts and complex technology situations to challenge the status quo and further develop and build on our IT Risk Management Framework.
• Excellent communication skill, both verbal and written, with the ability to initiate and lead conversations with technology and business leaders and risk colleagues regarding anticipated and emerging issues.

Education

• Bachelor of Science (Computer Science), IT, Software Engineering.

Certifications

• CEH (certified ethical hacker) *MUST
• CISSP (Certified Information Systems Security Professional) * Added advantage
• OSWP (Offensive Security Wireless Professional) *Added advantage
• OSEE (Open System Engineering Environment) *Added advantage
• OSCP (BEST) (Offensive Security Certified Professional) *Added advantage

Key skills

• Must have demonstrated skills in penetration testing and ethical hacking having carried out:
• Password guessing and cracking attacks.
• Session hijacking and spoofing attacks.
• Network traffic sniffing attacks.
• Denial of Service attacks.
• Exploiting buffer overflow vulnerabilities.
• Good understanding of networks and networking elements.
• Good understanding of web pages and it's technology.
• Expertise in Linux machine recommended Kali and parrot.
• Familiar with various operating systems and databases

Experience

• 5 years + experience in penetration testing on expansive environments.

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Job Purpose 

The Payments Customer Support Lead oversees a team providing both technical and nontechnical customer support via Service NOW, phone, email, and chat within a technology call center environment. The incumbent must ensure that service levels are achieved in line with SLA’s, contracts and that customers’ expectations are met or exceeded. This role also includes responsibility for overseeing the day-to-day operations of the Payments service desk to ensure service desk targets are met and that team processes are documented and accurate. This position has direct management responsibilities. Must be adaptable to performing under frequent stressful conditions when confronted with an emergency and may be required to work overtime, shift work, variable work schedules, and be on-call 24-hours a day. 

Job Responsibilities/ Accountabilities 

• Monitoring of daily, weekly, and monthly performance objectives, SLA monitoring and reporting. 
• Manages the activities and personnel associated with providing technical services to internal and external customers. 
• Serve as the point of contact for Payments team on all support related issues.  
• Serve as the linkage with the BAU IT Service Desk. 
• Own problem management of critical customer incidents, including communications, all related problem management activities and any appropriate escalations. 
• Ensure timely resolution or escalation, communicate promptly on progress, and ensure customers are handled with a professional attitude. 
• Analyze performance of Service Desk & Production Support activities and documented resolutions, identify problem areas, and devise and deliver solutions to enhance quality of service and to prevent future problems. 
• Ensure that the Service Desk is fully using Service NOW and any appropriate knowledge management tools and practices to provide a more effective and efficient service to customers. 
• Provide incidents analysis and KPIs to Group Director Payments on weekly, and monthly accomplishments. Respond quickly to ad hoc requests for data/MI. 
• Perform quality assurance functions. Duties include defining support staff & service desk staff requirements, ticket review and measured feedback (support function KPI’s). 
• Participate in leader on-call role. 
• Assists with support staff on-boarding. 
• Facilitates and participates in employee team meetings. 
• Responsible for performance evaluations and related compensation recommendations, discipline, training of assigned staff to ensure operational effectiveness of group (including but not limited to completing appropriate documentation, new employee paperwork submission, account creation requests, equipment distribution and tracking, quarterly reviews, review and maintenance of weekly performance reports). 

**The above description reflects the details considered necessary to describe the principal functions of the role and should not be construed as a detailed description of ALL the work requirements that may be performed in the role.  

Required Skills/Experience

• Bachelor's Degree or equivalent experience is required. 
• ITIL V3+ certification required/a must. 
• 10+ years of experience in the Banking/Financial Industry. 
• Strong understanding of banking products and operations. 
• 8+ years of experience in a technology service/support center environment or equivalent work experience. 
• Must have hands on practical and min 5+ years’ experience utilizing Service NOW in a tech support function. 
• Min 5+ years acting in a lead/supervisor/management capacity. 
• Must have extensive experience in service desk KPIs and metrics.  
• Expert in the use of Microsoft Office Excel with demonstrated focus on basic data analysis and reporting.  
• Demonstrable ability to take a proactive, customer service approach when dealing with all levels of customers. This includes the ability to serve executives and irate customers and diffuse volatile situations. Superior customer service skills. 
• Must be detail oriented and able to document technical issues effectively, and accurately. 
• Ability to work independently with minimal supervision. 
• Excellent verbal, written and interpersonal skills. 

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Job Purpose

The candidate will apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.

Responsibilities:

• Gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organisations goals.
• Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation and derivation of new variables/features.
• Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders.
• Designs various mathematical, statistical, and simulation techniques to typically large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes.
• Drives analytics and insights across the organisation by developing advanced statistical models and computational algorithms based on business initiatives.
• Codes, tests and maintains scientific models and algorithms; identifies trends, patterns, and discrepancies in data; and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis.
• Use data profiling and visualisation techniques using tools to understand and explain data characteristics that will inform modelling approaches. Communicate data information to business with various skill levels and in various roles, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations.
• Creates, maintains and optimises modelling solutions that enable the forecast of quality data outcomes.
• Ensures that volumetric predictions are modelled so that resource requirements are optimally considered.
• Develops and maintains optimal evaluation techniques to ensure that modelled outcomes are rigorous and creates model performance tracking, and drives sustainable and effective modelling solutions.
• Develops, implements, monitors and maintains a comprehensive operational IA plan, rules, methodologies and coding initiatives in order to drive IA for remediation efforts.
• Develops and co-ordinates a comprehensive strategy for productionalising automation software so that it is accurate and well maintained
• Mines data using state-of-the-art methods. Enhances data collection procedures to include information that is relevant for building data models.
• Provides input into Data management and modelling infrastructure requirements and adheres to the organisations’s infrastructure development processes, including the management of User Acceptance Testing (UAT).
• Ensure business integration through integrating model outputs into end-point production systems, where requirements must be understood and adopted relating to data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
• Builds machine learning models from and utilises distributed data processing and analysis methodologies.
• Competent in Machine Learning programming in R or Python, with supplementary still in Matlab, Java, etc. Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka
• Liaise and collaborate with the Data Science Guild, providing support to the entire department for its data centric needs.
• Collaborate with subject matter experts to select the relevant sources of information and translates the business requirements into data mining/science outcomes.
• Presents findings and observations to team for development of recommendations.
• Acts as a subject matter expert from a data science perspective and provides input into all decisions relating to data science and the use thereof.
• Educate the organisation on data science perspectives on new approaches, such as testing hypotheses and statistical validation of results.
• Ensure ongoing knowledge of industry standards as well as best practice and identify gaps between these definitions/data elements and organisation data elements/definitions.

Qualifications

• Banking Experience a must have
• Experience in OOP, Pyspark, and API/flask - must have
• Bachelors Degree in Information Technology/ Information Studies and/or any other relevant course
• Proven development experience in software and software engineering.
• Understanding of financial services data processes, systems, and products.
• Experience in technical business intelligence.
• Knowledge of IT infrastructure and data principles.
• Project management experience.
• Exposure to governance and regulatory matters as it relates to data.
• Experience in building models (credit scoring, propensity models, churn, etc.).
• Candidate should have 3 – 5 years of experience:
  • Working with unstructured data (e.g. Streams, images)
  • Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
  • Using data mining to discover new patterns from large datasets.
  • Implement standard and proprietary algorithms for handling and processing data.
  • Experience with common data science toolkits, such as SAS, R, SPSS, etc.
  • Experience with data visualisation tools, such as Power BI, Tableau, etc.
  • Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Qlikview; SSIS SSRS, Python, JSON , C#, Java, C++, HTML