Surveillance Analytics

Year    Pune, Maharashtra, India

Job Description


Job Title: Surveillance Analytics
Location: Pune About Barclays
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group. Risk and Control Objective
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

Working Flexibly We\xe2\x80\x99re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers\xe2\x80\x99 and clients\xe2\x80\x99 needs. Whether you have family commitments or you\xe2\x80\x99re a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life. If you would like some flexibility, then please discuss this with the hiring manager, and your request will be reviewed subject to business needs Hybrid Working We are currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. We\xe2\x80\x99re flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. We also have a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances These requests will be reviewed and agreed for a period of time i.e., will have a start and end date.
Please discuss the detail of the working pattern options for the role with the hiring manager.

Introduction: To achieve our goals, the team works with our technology partners, Financial Crime/Compliance Transformation, which provide services in the development of data and technology architecture \xe2\x80\x93 such as the implementation and technical management of Transaction Monitoring systems and the development of data architectures and analytics platforms.

What will you be doing?

  • To assist with further development of the Money Mules control environment, and to assist collaborative efforts with other internal teams
  • Support the growth and scope of the Financial Crime Analytics team through the generation of ideas. This will involve engaging with key stakeholders to identify their key problems and needs, and keeping up-to-date with external industry development through own research and attending key peer-group meetings and conferences.
  • Provide support to aid in the development of junior team members both from a technical perspective and provided business requirements -driven direction.
  • Provide hands-on analytics support to the AML Transaction Monitoring team in areas such as threshold tuning/optimization, customer/account segmentation and data-driven decision making and insights. This will involve techniques such as hypothesis testing, regression analysis, optimization methods and clustering analysis.
  • Engage in a range of innovative PoC/Prototype development activities including the data-driven automation of various currently manual processes, development of interactive dashboards, the development of alert & case scoring and prioritization models and the generation of enhanced AML detection capabilities through the application of machine learning techniques.
  • Provide analytics support to the AML Investigations team in areas such as the development of case-prioritization scoring processes, enhanced alert-case merging and ad-hoc insight requests.
  • Support in activity relating to the Banks Model Risk Management policy where required.
  • Engage with our internal Technology team to provide requirements on the development of strategic data infrastructure ensuring that our infrastructure capability aligns to the needs of the Financial Crime Analytics team as well as to the needs of our wider stakeholders.
  • Assist and manage the running of regular analytical processes.


What we\xe2\x80\x99re looking for:
Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Note: experience requirements must not be in the form of years (minimum or otherwise).
  • Awareness of financial crime risks and trends
  • Ability to challenge and to be innovative
  • Be proactive (self-starter)
  • Highly articulate \xe2\x80\x93 good communicator both written and oral
  • Good interpersonal skills, relationship management


Skills that will help you in the role:
  • A Bachelor\xe2\x80\x99s degree in a quantitative discipline with a significant Statistics component (Statistics, Mathematics, Operational Research, Business Analytics, Computer Science, Computational/Mathematical Finance, Physics, Economics/Econometrics).
  • Minimum 4+ years relevant experience. Experience within a large corporate/Financial Services institution beneficial & some experience in the application of statistical analysis around Financial Crime/AML Transaction Monitoring will be seen as favourable.
  • Minimum 4+ years hands-on experience in the use of statistical analysis and data manipulation tools (SAS, SQL, R, Python, Tableau, JavaScript) \xe2\x80\x93 SAS experience preferred.
  • Some experience in applying a wide range of statistical and machine learning techniques (e.g. hypothesis testing, regression, clustering, decision trees, machine learning models).

Desirable skills/Preferred Qualifications:
  • Experience in rule development for fraud prevention, money mule identification or AML Transaction monitoring will be advantageous
  • Knowledge of Financial Crime legislation (specifically Anti-Money Laundering / Terrorist Financing), exposure to common AML Transaction Monitoring systems, and an understanding of the application of analytics in the Financial Crime space will be seen as a plus
  • Experience in managing the scheduled running of regular processes, in SAS and SQL, would be beneficial.
  • Experience with visualization tools (e.g., Tableau, Sportfire, Qlikview) beneficial.
  • Exposure/Experience with distributed-data architecture (Hadoop/MapReduce, Spark) and cloud architecture (e.g. AWS) a plus.

Where will you be working?
Pune



Be More at Barclays
At Barclays, each day is about being more \xe2\x80\x93 as a professional, and as a person. \xe2\x80\x98Be More @ Barclays\xe2\x80\x99 represents our core promise to all current and future employees. It\xe2\x80\x99s the characteristic that we want to be associated with as an employer, and at the heart of every employee experience. We empower our colleagues to Be More Globally Connected, working on international projects that improve the way millions of customers handle their finances. Be More Inspired by working alongside the most talented people in the industry, and delivering imaginative new solutions that are redefining the future of finance. Be More Impactful by having the opportunity to work on cutting-edge projects, and Be More Valued for who you are.
Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.
Purpose, Values and Mindset

We deploy finance responsibly to support people and businesses, acting with empathy and integrity, championing innovation and sustainability, for the common good and the long term.
Our values underpin everything we do: Respect, Integrity, Service, Excellence and Stewardship.

Respect
We harness the power of diversity and inclusion in our business, trust those we work with, and value everyone\'s contribution.
Integrity
We operate with honesty, transparency and fairness in all we do.
Service
We act with empathy and humility, putting the people and businesses we serve at the centre of what we do.
Excellence
We champion innovation, and use our energy, expertise and resources to make a positive difference.
Stewardship
We prize sustainability, and are passionate about leaving things better than we found them.

Our Mindset shapes how we take action, living by our Values, driven by our Purpose, always with our customers and clients at the heart of what we do; our Mindset is to Empower, Challenge and Drive.

Empower
Trust and support each other to deliver. Make decisions with those closest to the topic. Include diverse perspectives. Celebrate success and learn from failure.
Challenge
Question whether things can be done better. Use insights based on data to inform decisions. Be curious about how we can adapt and improve. Speak up and be open to alternative viewpoints.
Drive
Focus on outcomes. Deliver with pace. Be passionate and ambitious about what we do. Take personal responsibility. Actively build collaborative relationships to get things done.

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Job Detail

  • Job Id
    JD2988726
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Pune, Maharashtra, India
  • Education
    Not mentioned
  • Experience
    Year